análisis de consistencia-final
Post on 03-Nov-2014
21 Views
Preview:
TRANSCRIPT
SICUANI
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 135.29139055 77.769950302 95.848377998 -23.673059712 -53.7944999272003 SENAMHI 47.575409307 56.453920715 87.132391202 -5.3890101343 -54.3105202852004 SENAMHI 92.117390602 120.49589064 10.174480456 -22.947030845 -62.0685000212005 SENAMHI -5.4405394434 110.63796957 35.216472136 1.7949798894 -61.82652006 SENAMHI 94.001390955 52.779969506 34.558440762 35.736948598 -59.6845100612007 SENAMHI 50.44345071 31.021919772 114.00045855 -14.621070068 -54.3425100462008 SENAMHI 77.18540973 69.463950418 70.34244016 -34.679009784 -49.30052009 SENAMHI 37.52745921 85.505949303 33.584430353 -15.637049537 -47.2584999972010 SENAMHI 110.86937165 45.347950764 62.926449718 3.604971047 -47.016510049
POMACANCHI
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 220.00 160.00 165.00 40.00 12.00
2002 SENAMHI 113.00 220.00 158.00 59.00 11.00
2003 SENAMHI 151.00 147.00 135.00 75.00 15.00
2004 SENAMHI 241.00 162.00 70.00 42.00 23.00
2005 SENAMHI 75.00 116.00 114.00 63.00 2.00
2006 SENAMHI 140.00 215.00 96.00 130.00 1.00
2007 SENAMHI 155.00 163.00 208.00 68.00 11.00
2008 SENAMHI 120.00 94.00 64.00 38.00 5.00
2009 SENAMHI 278.00 73.00 101.00 54.00 1.00
2010 SENAMHI 161.60 95.80 113.10 53.50 2.60
COLQUEPATA
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 269.70 168.10 157.50 80.30 32.402002 SENAMHI 121.50 161.40 144.10 76.30 6.302003 SENAMHI 152.00 162.30 122.70 55.90 13.702004 SENAMHI 177.90 122.90 80.20 13.50 11.702005 SENAMHI 64.00 158.60 72.40 36.80 8.402006 SENAMHI 176.20 56.50 89.60 35.90 1.802007 SENAMHI 134.10 87.20 161.90 40.50 15.802008 SENAMHI 152.10 151.60 77.10 36.60 16.802009 SENAMHI 145.40 121.60 110.70 23.00 1.602010 SENAMHI 231.20 109.60 165.00 15.10 4.40
CAPACHICA
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 130.15 97.27 143.68 3.60 -58.882002 SENAMHI 68.75 192.47 139.89 70.10 -8.882003 SENAMHI 247.16 165.87 189.59 71.41 44.432004 SENAMHI 263.06 244.28 170.90 118.11 79.33
2005 SENAMHI 217.27 325.48 211.90 140.72 120.132006 SENAMHI 394.47 219.49 293.40 197.72 167.742007 SENAMHI -47.85 277.87 227.09 374.81 256.822008 SENAMHI 454.08 326.99 378.21 257.23 261.152009 SENAMHI 391.18 453.00 397.12 356.83 308.952010 SENAMHI 511.59 526.00 391.92 386.84 369.45
PISAC
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 193.50 137.40 146.70 18.30 9.70
2002 SENAMHI 87.10 162.80 103.20 33.80 4.40
2003 SENAMHI 108.90 102.70 85.50 32.30 2.40
2004 SENAMHI 143.00 102.70 91.00 13.20 1.30
2005 SENAMHI 125.80 72.40 67.70 28.70 0.00
2006 SENAMHI 162.80 79.40 119.20 32.80 0.00
2007 SENAMHI 89.40 63.90 129.40 39.80 7.40
2008 SENAMHI 138.70 154.70 58.60 8.10 5.80
2009 SENAMHI 92.20 85.70 63.50 13.20 0.00
2010 SENAMHI 263.90 112.50 174.80 3.60 5.60
URUBAMBA
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 159.40 94.70 102.20 7.20 8.40
2002 SENAMHI 126.00 118.10 78.30 50.10 5.80
2003 SENAMHI 96.90 73.40 109.50 28.60 4.30
2004 SENAMHI 123.50 87.60 75.30 15.20 1.50
2005 SENAMHI 48.40 97.00 62.20 21.30 10.00
2006 SENAMHI 111.80 92.80 68.90 33.50 0.00
2007 SENAMHI 51.40 84.50 78.20 46.80 4.60
2008 SENAMHI 93.30 79.30 79.20 6.70 7.10
2009 SENAMHI 167.00 110.70 67.10 10.90 6.30
2010 SENAMHI 194.00 127.40 104.10 12.70 2.70
TAMBOBAMBA
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 296.0 283.0 171.0 36.0 12.0
2002 SENAMHI 159.0 264.0 209.0 80.0 17.0
2003 SENAMHI 210.0 117.0 138.0 67.0 13.0
2004 SENAMHI 211.0 240.0 67.0 41.0 17.0
2005 SENAMHI 137.0 183.0 151.0 0.0 0.0
2006 SENAMHI 194.0 161.0 152.0 91.0 0.0
2007 SENAMHI 138.0 157.0 207.0 27.0 0.0
2008 SENAMHI 192.0 131.0 72.0 28.0 4.0
2009 SENAMHI 164.0 162.0 79.0 31.0 4.0
2010 SENAMHI 218.0 150.0 103.0 24.0 33.0
CAICAY
Año Fuente ENERO FEBRERO MARZO ABRIL MAYO
2001 SENAMHI 236.0 143.9 147.6 28.3 15.2
2002 SENAMHI 79.4 184.0 94.5 20.9 5.0
2003 SENAMHI 156.0 153.3 178.4 70.4 2.0
2004 SENAMHI 119.0 101.7 69.3 18.7 2.0
2005 SENAMHI 68.6 130.0 88.3 29.5 3.7
2006 SENAMHI 182.9 84.6 103.2 51.4 0.0
2007 SENAMHI 131.7 135.8 163.2 35.7 3.8
2008 SENAMHI 131.7 135.8 163.2 35.7 3.8
2009 SENAMHI 117.0 83.2 62.6 34.1 5.0
2010 SENAMHI 199.0 78.4 79.2 0.0 12.7
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE
-78.215999952 -65.237510291 -68.359019833 -44.880509489 -31.002029373 0.1764797747-66.132010109 -72.4535 -64.175009835 -70.296499939 -34.718000344 -43.539509823-61.190020069 -64.911509936 -57.833010014 -23.354559848 -31.976010076 24.402439001
-66.048 -63.069499952 -65.491 -57.612500155 -16.634030029 10.344441051-57.006000042 -62.4275 -51.848999973 -38.570509689 -16.192069955 49.686420279
-59.364 -50.085509775 -58.807 -43.328510026 2.4499804527 14.728489468-55.322000012 -55.143499976 -54.864999976 -52.986499952 29.591969549 3.4704595076
-52.68 -46.201499893 -52.123 -40.744499976 -19.366010026 75.412429461-49.338 -49.0595 -43.081000012 -46.102499964 14.575989849 -1.3455209868
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE
3.00 19.00 12.00 8.00 76.00 78.00
0.00 23.00 14.00 54.00 59.00 97.00
7.00 0.00 2.00 13.00 50.00 51.00
9.00 6.00 11.00 59.00 44.00 66.00
0.00 0.00 3.00 2.00 65.00 88.00
9.00 0.00 7.00 4.00 70.00 89.00
0.00 3.00 0.00 3.00 44.00 88.00
0.00 12.00 0.00 8.00 14.00 262.00
0.00 0.00 11.00 4.00 51.00 33.00
0.00 0.00 5.70 2.40 62.80 46.60
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE1.90 19.20 29.30 20.10 82.10 113.30
11.50 53.00 23.80 32.60 72.70 47.205.80 2.00 24.20 6.80 18.80 23.109.30 26.70 26.90 28.90 43.90 51.700.00 4.70 4.80 8.60 32.70 47.402.40 0.00 24.80 7.10 70.60 63.500.40 8.70 12.00 7.70 37.10 39.10
19.60 4.40 18.20 18.60 62.90 45.500.00 20.00 3.40 7.70 7.80 133.70
10.10 12.50 0.30 11.50 74.90 39.60
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE-30.67 -47.85 -37.63 -10.71 23.60 -7.28-14.96 3.66 2.87 59.79 144.11 91.2236.84 36.36 41.28 85.49 77.21 75.2377.85 93.66 108.58 128.60 109.91 125.83
124.05 127.97 134.48 170.40 214.62 211.34177.85 174.97 188.09 214.81 212.62 259.64218.34 218.06 225.18 232.29 271.31 242.73265.06 268.98 272.90 276.81 324.73 297.05312.07 319.48 319.90 328.82 361.23 403.75359.07 362.99 370.01 394.52 410.34 474.36
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE0.00 18.60 4.30 5.80 45.80 69.30
3.80 44.40 2.00 9.30 37.20 88.40
5.90 0.00 22.10 3.00 23.80 22.30
15.40 8.90 5.30 25.80 28.90 40.10
0.00 1.00 3.70 2.70 12.60 46.60
30.00 0.00 12.70 4.00 38.70 67.20
0.00 1.30 0.00 3.00 30.60 67.20
3.60 0.20 3.20 8.00 43.90 57.90
0.00 2.10 0.00 18.20 5.80 113.60
1.10 1.40 9.80 1.60 60.50 25.00
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE0.00 16.90 11.60 8.60 73.30 61.80
4.90 62.80 1.80 2.50 63.60 53.00
8.40 1.20 18.00 1.00 16.80 47.20
30.60 21.50 10.30 5.90 35.80 38.90
0.00 1.60 1.90 11.70 10.90 50.50
1.90 0.00 4.00 9.60 50.10 58.30
0.00 1.90 0.10 0.00 54.00 63.70
2.80 0.60 3.10 3.90 35.50 92.20
0.10 2.70 1.60 8.90 4.60 128.40
0.00 2.50 7.70 5.50 42.00 23.90
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE23.0 14.0 6.0 10.0 72.0 87.0
3.0 13.0 1.0 39.0 112.0 68.0
1.0 0.0 22.0 25.0 33.0 50.0
1.0 14.0 14.0 56.0 56.0 54.0
0.0 1.0 6.0 4.0 99.0 61.0
8.0 0.0 0.0 0.0 52.0 106.0
0.0 5.0 0.0 0.0 35.0 117.0
1.0 0.0 2.0 22.0 61.0 83.0
0.0 1.0 8.0 16.0 99.0 220.0
0.0 0.0 0.0 1.0 37.0 52.0
JUNIO JULIO AGOSTO SEPTIEMBRE OCTUBRE NOVIEMBRE40.4 18.6 21.8 18.0 91.4 69.0
0.0 25.4 0.0 15.2 28.2 48.7
6.0 0.0 16.8 9.7 7.0 18.5
31.7 18.9 10.8 9.7 26.0 60.0
0.0 5.0 11.4 24.0 43.5 86.8
8.0 4.0 8.0 6.0 72.3 78.8
0.0 9.0 1.4 0.0 37.0 72.3
0.0 9.0 1.4 0.0 37.0 72.3
0.0 3.3 2.0 6.0 4.0 76.5
0.0 1.6 7.0 8.0 51.2 22.8
DICIEMBRE
56.654939924 0.58 PRECIPITACION ANNUAL CORREGIDA
54.138959978 -165.71 Año SICUANIPOMACANCHICOLQUEPATACAPACHICA PISAC
30.680958566 -46.41 2001 0.58 976.00 1069.20 271.32 741.89978
135.623 -42.51 2002 -165.71 917.00 890.20 866.57 698.6997
41.264949877 22.30 2003 -46.41 744.00 727.70 1259.22 523.99983
20.306950886 -47.60 2004 -42.51 885.00 701.50 1710.17 565.09977
96.348940048 44.11 2005 22.30 618.00 506.80 2247.31 417.29975
71.590911094 29.61 2006 -47.60 894.00 644.90 2760.86 658.19989
77.432920273 78.81 2007 44.11 830.00 679.90 2800.20 511.19985
2008 29.61 710.00 761.40 3844.66 610.79983
2009 78.81 746.00 684.30 4360.41 501.09983
2010 1115.5 669.20 820.00 5045.05 854.59985
DICIEMBRE Pm 98.87 798.92 748.59 2516.58 608.29
183.00 976.00 ALTITUD 3574 3700 3650 3828 2950
109.00 917.00 Alt.media 3374 msnm
98.00 744.00
152.00 885.00
90.00 618.00 Pm(anual) 860.21 mm133.00 894.00
87.00 830.00
93.00 710.00
140.00 746.00
125.10 669.20
DICIEMBRE95.30 1,069.20
139.80 890.20
140.40 727.70
107.90 701.50
68.40 506.80
116.50 644.90
135.40 679.90
158.00 761.40
109.40 684.30
145.80 820.00
DICIEMBRE66.04 271.32
117.54 866.57
188.34 1,259.22
190.05 1,710.17
248.95 2,247.31
260.06 2,760.86
303.54 2,800.20
461.46 3,844.66
408.07 4,360.41
487.97 5,045.05
DICIEMBRE92.50 741.90
122.30 698.70
115.10 524.00
89.50 565.10
56.10 417.30
111.40 658.20
79.20 511.20
128.10 610.80
106.80 501.10
194.80 854.60
DICIEMBRE65.50 609.60
135.50 702.40
94.60 499.90
77.90 524.00
82.60 398.10
88.20 519.10
74.80 460.00
118.40 522.10
70.60 578.90
110.70 633.20
DICIEMBRE70.0 1,080.00
148.0 1,113.00
194.0 870.00
248.0 1,019.00
148.0 790.00
127.0 891.00
161.0 847.00
211.0 807.00
182.0 966.00
175.0 793.00
DICIEMBRE80.4 910.60
92.6 593.90
150.6 768.70
59.9 527.70
182.9 673.70
66.8 666.00
51.3 641.20
51.3 641.20
73.0 466.70
131.2 591.10
PRECIPITACION ANNUAL CORREGIDA
URUBAMBATAMBOBAMBACAICAY
609.60 1080.00 910.60
702.40 1113.00 593.90
499.90 870.00 768.70
524.00 1019.00 527.70
398.10 790.00 673.70
519.10 891.00 666.00
460.00 847.00 641.20
522.10 807.00 641.20
578.90 966.00 466.70
633.20 793.00 591.10
544.73 917.60 648.08
2863 3275 3150
220.00 1 159.40 94.70
160.00 2 126.00 118.10
165.00 3 96.90 73.40
40.00 4 123.50 87.60
12.00 5 48.40 97.00
3.00 6 111.80 92.80
19.00 7 51.40 84.50
12.00 8 93.30 79.30
8.00 9 167.00 110.70
76.00 10 194.00 127.40
78.00 11183.00 12113.00 13220.00 14158.00 1559.00 1611.00 17
0.00 18 t p t p t p t
23.00 19 1.0 220.0 21.0 54.0 41.0 23.0 61.014.00 20 2.0 160.0 22.0 59.0 42.0 9.0 62.054.00 21 3.0 165.0 23.0 97.0 43.0 6.0 63.059.00 22 4.0 40.0 24.0 109.0 44.0 11.0 64.097.00 23 5.0 12.0 25.0 151.0 45.0 59.0 65.0
109.00 24 6.0 3.0 26.0 147.0 46.0 44.0 66.0151.00 25 7.0 19.0 27.0 135.0 47.0 66.0 67.0147.00 26 8.0 12.0 28.0 75.0 48.0 152.0 68.0135.00 27 9.0 8.0 29.0 15.0 49.0 75.0 69.075.00 28 10.0 76.0 30.0 7.0 50.0 116.0 70.015.00 29 11.0 78.0 31.0 0.0 51.0 114.0 71.07.00 30 12.0 183.0 32.0 2.0 52.0 63.0 72.00.00 31 13.0 113.0 33.0 13.0 53.0 2.0 73.02.00 32 14.0 220.0 34.0 50.0 54.0 0.0 74.0
13.00 33 15.0 158.0 35.0 51.0 55.0 0.0 75.050.00 34 16.0 59.0 36.0 98.0 56.0 3.0 76.051.00 35 17.0 11.0 37.0 241.0 57.0 2.0 77.098.00 36 18.0 0.0 38.0 162.0 58.0 65.0 78.0
241.00 37 19.0 23.0 39.0 70.0 59.0 88.0 79.0162.00 38 20.0 14.0 40.0 42.0 60.0 90.0 80.070.00 3942.00 4023.00 419.00 426.00 43 193.50 137.40
11.00 44 87.10 162.80
59.00 45 108.90 102.70
44.00 46 143.00 102.70
66.00 47 125.80 72.40
152.00 48 162.80 79.40
75.00 49 89.40 63.90
116.00 50 138.70 154.70
114.00 51 92.20 85.70
63.00 52 263.90 112.50
2.00 530.00 540.00 553.00 562.00 57
65.00 5888.00 5990.00 60
140.00 61215.00 6296.00 63
130.00 641.00 659.00 660.00 677.00 684.00 69
70.00 7089.00 71
133.00 72155.00 73163.00 74208.00 7568.00 7611.00 770.00 783.00 790.00 803.00 81
44.00 8288.00 8387.00 84
120.00 8594.00 8664.00 8738.00 885.00 890.00 90
12.00 910.00 928.00 93
14.00 94
262.00 95
93.00 96278.00 9773.00 98
101.00 9954.00 1001.00 1010.00 1020.00 103
11.00 1044.00 105
51.00 10633.00 107
140.00 108161.60 10995.80 110
113.10 11153.50 1122.60 1130.00 1140.00 1155.70 1162.40 117
62.80 11846.60 119
125.10 120
102.20 7.20 8.40 0.00 16.90 11.60 8.60 73.30 61.80
78.30 50.10 5.80 4.90 62.80 1.80 2.50 63.60 53.00
109.50 28.60 4.30 8.40 1.20 18.00 1.00 16.80 47.20
75.30 15.20 1.50 30.60 21.50 10.30 5.90 35.80 38.90
62.20 21.30 10.00 0.00 1.60 1.90 11.70 10.90 50.50
68.90 33.50 0.00 1.90 0.00 4.00 9.60 50.10 58.30
78.20 46.80 4.60 0.00 1.90 0.10 0.00 54.00 63.70
79.20 6.70 7.10 2.80 0.60 3.10 3.90 35.50 92.20
67.10 10.90 6.30 0.10 2.70 1.60 8.90 4.60 128.40
104.10 12.70 2.70 0.00 2.50 7.70 5.50 42.00 23.90
P t p t p
140.0 81.0 3.0 101.0 1.0215.0 82.0 44.0 102.0 0.096.0 83.0 88.0 103.0 0.0
130.0 84.0 87.0 104.0 11.01.0 85.0 120.0 105.0 4.09.0 86.0 94.0 106.0 51.00.0 87.0 64.0 107.0 33.07.0 88.0 38.0 108.0 140.04.0 89.0 5.0 109.0 161.6
70.0 90.0 0.0 110.0 95.889.0 91.0 12.0 111.0 113.1
133.0 92.0 0.0 112.0 53.5155.0 93.0 8.0 113.0 2.6163.0 94.0 14.0 114.0 0.0208.0 95.0 262.0 115.0 0.068.0 96.0 93.0 116.0 5.711.0 97.0 278.0 117.0 2.40.0 98.0 73.0 118.0 62.83.0 99.0 101.0 119.0 46.60.0 100.0 54.0 120.0 125.1
146.70 18.30 9.70 0.00 18.60 4.30 5.80 45.80 69.30
103.20 33.80 4.40 3.80 44.40 2.00 9.30 37.20 88.40
85.50 32.30 2.40 5.90 0.00 22.10 3.00 23.80 22.30
91.00 13.20 1.30 15.40 8.90 5.30 25.80 28.90 40.10
67.70 28.70 0.00 0.00 1.00 3.70 2.70 12.60 46.60
119.20 32.80 0.00 30.00 0.00 12.70 4.00 38.70 67.20
129.40 39.80 7.40 0.00 1.30 0.00 3.00 30.60 67.20
58.60 8.10 5.80 3.60 0.20 3.20 8.00 43.90 57.90
63.50 13.20 0.00 0.00 2.10 0.00 18.20 5.80 113.60
174.80 3.60 5.60 1.10 1.40 9.80 1.60 60.50 25.00
65.50
135.50
94.60
77.90
82.60 ESTACION
88.20 CAPACHICA
74.80
2001
ENERO 216.10 220.00 269.70 213.70118.40 FEBRERO 158.30 160.00 168.10 176.90
70.60 MARZO 176.10 165.00 157.50 219.40110.70 ABRIL 56.30 40.00 80.30 75.40
MAYO 25.90 12.00 32.40 9.00JUNIO 1.20 3.00 1.90 33.30JULIO 13.90 19.00 19.20 12.20
AGOSTO 10.50 12.00 29.30 18.50SEPTIEMBRE 33.70 8.00 20.10 41.50
OCTUBRE 47.30 76.00 82.10 71.90NOVIEMBRE 78.20 78.00 113.30 37.10
DICIEMBRE 134.40 183.00 95.30 106.50
2002
ENERO 153.90 113.00 121.50 105.30FEBRERO 204.90 220.00 161.40 225.10MARZO 146.70 158.00 144.10 168.60ABRIL 126.50 59.00 76.30 94.90MAYO 32.90 11.00 6.30 12.00JUNIO 0.00 0.00 11.50 2.00JULIO 26.10 23.00 53.00 16.70
AGOSTO 4.30 14.00 23.80 12.00SEPTIEMBRE 32.60 54.00 32.60 65.00
OCTUBRE 68.20 59.00 72.70 145.40NOVIEMBRE 99.80 97.00 47.20 88.60DICIEMBRE 141.90 109.00 139.80 111.00
2003
ENERO 121.70 151.00 152.00 236.70FEBRERO 130.30 147.00 162.30 151.50MARZO 160.70 135.00 122.70 171.30ABRIL 67.90 75.00 55.90 49.20MAYO 18.70 15.00 13.70 18.30JUNIO 6.60 7.00 5.80 6.80JULIO 0.00 0.00 2.00 2.40
AGOSTO 8.00 2.00 24.20 3.40SEPTIEMBRE 1.60 13.00 6.80 43.70
OCTUBRE 36.90 50.00 18.80 31.50NOVIEMBRE 27.80 51.00 23.10 25.60DICIEMBRE 125.20 98.00 140.40 134.80
92.50
2004
ENERO 162.90 241.00 177.90 205.60122.30 FEBRERO 191.00 162.00 122.90 182.90115.10 MARZO 80.40 70.00 80.20 105.60
SICUANI
POMACANCHI
COLQUEPATA
89.50
2004
ABRIL 47.00 42.00 13.50 48.9056.10 MAYO 7.60 23.00 11.70 6.20
111.40 JUNIO 8.20 9.00 9.30 0.8079.20 JULIO 4.20 6.00 26.70 12.70
128.10 AGOSTO 11.00 11.00 26.90 23.70106.80 SEPTIEMBRE 45.20 59.00 28.90 39.80194.80 OCTUBRE 36.30 44.00 43.90 17.20
NOVIEMBRE 92.40 66.00 51.70 29.20DICIEMBRE 98.40 152.00 107.90 89.50
2005
ENERO 62.00 75.00 64.00 112.80FEBRERO 177.80 116.00 158.60 217.10MARZO 102.10 114.00 72.40 99.60ABRIL 68.40 63.00 36.80 24.50MAYO 4.50 2.00 8.40 0.00JUNIO 0.00 0.00 0.00 0.00JULIO 2.70 0.00 4.70 0.00
AGOSTO 0.00 3.00 4.80 2.60SEPTIEMBRE 7.60 2.00 8.60 34.60
OCTUBRE 48.30 65.00 32.70 74.90NOVIEMBRE 75.00 88.00 47.40 67.70DICIEMBRE 85.40 90.00 68.40 101.40
2006
ENERO 158.10 140.00 176.20 243.00FEBRERO 116.60 215.00 56.50 64.10MARZO 98.10 96.00 89.60 134.10ABRIL 99.00 130.00 35.90 34.50MAYO 3.30 1.00 1.80 0.60JUNIO 5.70 9.00 2.40 6.80JULIO 0.00 0.00 0.00 0.00
AGOSTO 10.30 7.00 24.80 9.20SEPTIEMBRE 23.30 4.00 7.10 32.00
OCTUBRE 45.40 70.00 70.60 25.90NOVIEMBRE 111.00 89.00 63.50 69.00DICIEMBRE 102.30 133.00 116.50 65.50
2007
ENERO 111.20 155.00 134.10 79.40FEBRERO 91.50 163.00 87.20 24.70MARZO 174.20 208.00 161.90 168.50ABRIL 45.30 68.00 40.50 46.60MAYO 5.30 11.00 15.80 4.20JUNIO 0.00 0.00 0.40 0.00JULIO 9.00 3.00 8.70 3.20
AGOSTO 0.00 0.00 12.00 6.40SEPTIEMBRE 15.20 3.00 7.70 41.50
OCTUBRE 60.70 44.00 37.10 9.00NOVIEMBRE 72.70 88.00 39.10 65.90DICIEMBRE 78.00 87.00 135.40 138.30
2008
ENERO 134.60 120.00 152.10 208.60FEBRERO 126.60 94.00 151.60 77.60MARZO 127.20 64.00 77.10 124.90
2008
ABRIL 21.90 38.00 36.60 0.00
MAYO 7.00 5.00 16.80 0.00
JUNIO 0.70 0.00 19.60 0.00JULIO 0.60 12.00 4.40 0.00
AGOSTO 0.60 0.00 18.20 0.00
SEPTIEMBRE 2.20 8.00 18.60 0.00OCTUBRE 84.50 14.00 62.90 44.00
NOVIEMBRE 58.10 262.00 45.50 12.40DICIEMBRE 150.70 93.00 158.00 172.90
2009
ENERO 91.60 278.00 145.40 98.70FEBRERO 139.30 73.00 121.60 156.60MARZO 87.10 101.00 110.70 96.80ABRIL 37.60 54.00 23.00 52.60MAYO 5.70 1.00 1.60 0.80JUNIO 0.00 0.00 0.00 0.00JULIO 6.20 0.00 20.00 3.50
AGOSTO 0.00 11.00 3.40 0.00SEPTIEMBRE 11.10 4.00 7.70 5.00
OCTUBRE 32.20 51.00 7.80 33.50NOVIEMBRE 126.70 33.00 133.70 72.10DICIEMBRE 122.60 140.00 109.40 72.50
2010
ENERO 161.60 161.60 231.20 172.10FEBRERO 95.80 95.80 109.60 182.60MARZO 113.10 113.10 165.00 44.60ABRIL 53.50 53.50 15.10 35.60MAYO 2.60 2.60 4.40 14.30JUNIO 0.00 0.00 10.10 0.00JULIO 0.00 0.00 12.50 0.00
AGOSTO 5.70 5.70 0.30 3.10SEPTIEMBRE 2.40 2.40 11.50 23.70
OCTUBRE 62.80 62.80 74.90 35.60NOVIEMBRE 46.60 46.60 39.60 95.70DICIEMBRE 125.10 125.10 145.80 105.40
0 20 40 60 80 100 120 1400
50
100
150
200
250
300
350
estacion
Axis Title
Axis
Title
0 20 40 60 80 100 120 1400
50
100
150
200
250
300
350
estacion
Axis Title
Axis
Title
ESTACION ESTACION
PISAC URUBAMBA TAMBO CAICAY SICUANI
193.50 159.40 296.0 236.0
137.40 94.70 283.0 143.9
146.70 102.20 171.0 147.6
18.30 7.20 36.0 28.3
9.70 8.40 12.0 15.2
0.00 0.00 23.0 40.4
18.60 16.90 14.0 18.6
4.30 11.60 6.0 21.8
5.80 8.60 10.0 18.0
45.80 73.30 72.0 91.4
69.30 61.80 87.0 69.0
92.50 65.50 70.0 80.4 951.90 976.00 1,069.20 1,015.40
87.10 126.00 159.0 79.4
162.80 118.10 264.0 184.0
103.20 78.30 209.0 94.5
33.80 50.10 80.0 20.9
4.40 5.80 17.0 5.0
3.80 4.90 3.0 0.0
44.40 62.80 13.0 25.4
2.00 1.80 1.0 0.0
9.30 2.50 39.0 15.2
37.20 63.60 112.0 28.2
88.40 53.00 68.0 48.7
122.30 135.50 148.0 92.6 1,037.80 917.00 890.20 1,046.60108.90 96.90 210.0 156.0
102.70 73.40 117.0 153.3
85.50 109.50 138.0 178.4
32.30 28.60 67.0 70.4
2.40 4.30 13.0 2.0
5.90 8.40 1.0 6.0
0.00 1.20 0.0 0.0
22.10 18.00 22.0 16.8
3.00 1.00 25.0 9.7
23.80 16.80 33.0 7.0
22.30 47.20 50.0 18.5
115.10 94.60 194.0 150.6 705.40 744.00 727.70 875.20143.00 123.50 211.0 119.0
102.70 87.60 240.0 101.7
91.00 75.30 67.0 69.3
POMACANCHI
COLQUEPATA
CAPACHICA
13.20 15.20 41.0 18.7
1.30 1.50 17.0 2.0
15.40 30.60 1.0 31.7
8.90 21.50 14.0 18.9
5.30 10.30 14.0 10.8
25.80 5.90 56.0 9.7
28.90 35.80 56.0 26.0
40.10 38.90 54.0 60.0
89.50 77.90 248.0 59.9 784.60 885.00 701.50 762.10125.80 48.40 137.0 68.6
72.40 97.00 183.0 130.0
67.70 62.20 151.0 88.3
28.70 21.30 0.0 29.5
0.00 10.00 0.0 3.7
0.00 0.00 0.0 0.0
1.00 1.60 1.0 5.0
3.70 1.90 6.0 11.4
2.70 11.70 4.0 24.0
12.60 10.90 99.0 43.5
46.60 50.50 61.0 86.8
56.10 82.60 148.0 182.9 633.80 618.00 506.80 735.20162.80 111.80 194.0 182.9
79.40 92.80 161.0 84.6
119.20 68.90 152.0 103.2
32.80 33.50 91.0 51.4
0.00 0.00 0.0 0.0
30.00 1.90 8.0 8.0
0.00 0.00 0.0 4.0
12.70 4.00 0.0 8.0
4.00 9.60 0.0 6.0
38.70 50.10 52.0 72.3
67.20 58.30 106.0 78.8
111.40 88.20 127.0 66.8 773.10 894.00 644.90 684.7089.40 51.40 138.0 131.7
63.90 84.50 157.0 135.8
129.40 78.20 207.0 163.2
39.80 46.80 27.0 35.7
7.40 4.60 0.0 3.8
0.00 0.00 0.0 0.0
1.30 1.90 5.0 9.0
0.00 0.10 0.0 1.4
3.00 0.00 0.0 0.0
30.60 54.00 35.0 37.0
67.20 63.70 117.0 72.3
79.20 74.80 161.0 51.3 663.10 830.00 679.90 587.70138.70 93.30 192.0 131.7
154.70 79.30 131.0 135.8
58.60 79.20 72.0 163.2
8.10 6.7028.0 35.7
5.80 7.104.0 3.8
3.60 2.801.0 0.0
0.20 0.60 0.0 9.0
3.20 3.10 2.0 1.4
8.00 3.9022.0 0.0
43.90 35.50 61.0 37.0
57.90 92.20 83.0 72.3
128.10 118.40 211.0 51.3 714.70 710.00 761.40 640.4092.20 167.00 164.0 117.0
85.70 110.70 162.0 83.2
63.50 67.10 79.0 62.6
13.20 10.90 31.0 34.1
0.00 6.30 4.0 5.0
0.00 0.10 0.0 0.0
2.10 2.70 1.0 3.3
0.00 1.60 8.0 2.0
18.20 8.90 16.0 6.0
5.80 4.60 99.0 4.0
113.60 128.40 220.0 76.5
106.80 70.60 182.0 73.0 660.10 746.00 684.30 592.10263.90 194.00 218.0 199.0
112.50 127.40 150.0 78.4
174.80 104.10 103.0 79.2
3.60 12.70 24.0 0.0
5.60 2.70 33.0 12.7
1.10 0.00 0.0 0.0
1.40 2.50 0.0 1.6
9.80 7.70 0.0 7.0
1.60 5.50 1.0 8.0
60.50 42.00 37.0 51.2
25.00 23.90 52.0 22.8
194.80 110.70 175.0 131.2 669.20 669.20 820.00 712.70
0 20 40 60 80 100 120 1400
50
100
150
200
250
300
350
estacion
Axis Title
Axis
Title
0 20 40 60 80 100 120 1400
50
100
150
200
250
300
350
estacion
Axis Title
Axis
Title
ESTACION ESTACION(Registros anuales)
PISAC TAMBO CAICAY SICUANI COLQUEPATA
2001 951.90 976.00 1069.202002 1037.80 917.00 890.202003 705.40 744.00 727.702004 784.60 885.00 701.502005 633.80 618.00 506.802006 773.10 894.00 644.902007 663.10 830.00 679.902008 714.70 710.00 761.402009 660.10 746.00 684.302010 669.20 669.20 820.00
741.90 609.60 1,080.00 910.60
698.70 702.40 1,113.00 593.90
524.00 499.90 870.00 768.70
URUBAMBA
POMACANCHI
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
565.10 524.00 1,019.00 527.70
417.30 398.10 790.00 673.70
658.20 519.10 891.00 666.00
511.20 460.00 847.00 641.20
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.994939979019843
Chart Title
PisacLinear (Pisac)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
R² = 0.99899119408051
Chart Title
PomacanchiLinear (Pomacanchi)
TANTA
234.03 450.00
830.77 1744.00
610.80 522.10 807.00 641.20 1367.42 2919.50
1779.12 3767.60
2178.45 4794.50
2614.71 5719.40
3197.68 6632.90
3795.15 8093.80
4403.00 9488.40
4871.10 10603.90
501.10 578.90 966.00 466.70
854.60 633.20 793.00 591.10
Patron Acum
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.994939979019843
Chart Title
PisacLinear (Pisac)
Analisis estacion patronESTACION(Registros anuales) Acumulados
PISAC TAMBO CAICAY SICUANI
1015.40 741.90 609.60 1080.00 910.60 951.90 976.00 1069.20
1046.60 698.70 702.40 1113.00 593.90 1989.70 1893.00 1959.40
875.20 524.00 499.90 870.00 768.70 2695.10 2637.00 2687.10
762.10 565.10 524.00 1019.00 527.70 3479.70 3522.00 3388.60
735.20 417.30 398.10 790.00 673.70 4113.50 4140.00 3895.40
684.70 658.20 519.10 891.00 666.00 4886.60 5034.00 4540.30
587.70 511.20 460.00 847.00 641.20 5549.70 5864.00 5220.20
640.40 610.80 522.10 807.00 641.20 6264.40 6574.00 5981.60
592.10 501.10 578.90 966.00 466.70 6924.50 7320.00 6665.90
712.70 854.60 633.20 793.00 591.10 7593.70 7989.20 7485.90
CAPACHICA
URUBAMBA
POMACANCHI
COLQUEPATA
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
Analisis de doble Masa
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
R² = 0.996893034671064
Chart Title
UrubambaLinear (Urubamba)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.994939979019843
Chart Title
PisacLinear (Pisac)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
R² = 0.99899119408051
Chart Title
PomacanchiLinear (Pomacanchi)
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.997277089456514
Chart Title
ColquepataLinear (Colquepata)
Analisis de doble Masa
VILCA Patron Acum
234.03 374.30 234.03 668.70
830.77 3649.00 830.77 1939.70
1367.42 6025.80 1367.42 3066.90
1779.12 6956.30 1779.12 3914.70
2178.45 7495.80 2178.45 4753.10
2614.71 8484.60 2614.71 5681.40
3197.68 9281.70 3197.68 6657.80
3795.15 10130.80 3795.15 7710.50
4403.00 11036.40 4403.00 8901.80
4871.10 11899.78 4871.10 9763.89
Patron Acum
YAURICOCHA
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
R² = 0.996893034671064
Chart Title
UrubambaLinear (Urubamba)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.994939979019843
Chart Title
PisacLinear (Pisac)
Analisis estacion patronAcumulados
PISAC TAMBO CAICAY
1015.40 741.90 609.60 1080.00 910.60 919.32 919.32
2062.00 1440.60 1312.00 2193.00 1504.50 874.95 1794.27
2937.20 1964.60 1811.90 3063.00 2273.20 714.36 2508.64
3699.30 2529.70 2335.90 4082.00 2800.90 721.12 3229.76
4434.50 2947.00 2734.00 4872.00 3474.60 596.61 3826.37
5119.20 3605.20 3253.10 5763.00 4140.60 716.37 4542.75
5706.90 4116.40 3713.10 6610.00 4781.80 652.51 5195.26
6347.30 4727.20 4235.20 7417.00 5423.00 675.95 5871.21
6939.40 5228.30 4814.10 8383.00 5889.70 649.40 6520.61
7652.10 6082.90 5447.30 9176.00 6480.80 717.87 7238.49
CAPACHICA
URUBAMBA
Promedio
Acum Prom.
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.997678195598012
Chart Title
CaicayLinear (Caicay)
Analisis de doble Masa
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Promedio Acumulado
Acum
ulad
o po
r Est
ació
n
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
R² = 0.997908086458302
Chart Title
CapachicaLinear (Capachica)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
R² = 0.996893034671064
Chart Title
UrubambaLinear (Urubamba)
0.00 1000.00 2000.00 3000.00 4000.00 5000.00 6000.00 7000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.997277089456514
Chart Title
ColquepataLinear (Colquepata)
0.00
2000.00
4000.00
6000.00
8000.00
10000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.99948723282873
Chart Title
TambobambaLinear (Tambobamba)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.997678195598012
Chart Title
CaicayLinear (Caicay)
Analisis de doble Masa
CARANIA YAUYOS
234.03 184.70 234.03 20.89 234.03
830.77 791.78 830.77 306.02 830.77
1367.42 1289.98 1367.42 534.57 1367.42
1779.12 1568.68 1779.12 741.67 1779.12
2178.45 2378.28 2178.45 938.24 2178.45
2614.71 3059.28 2614.71 1158.94 2614.71
3197.68 3641.88 3197.68 1464.14 3197.68
3795.15 4674.88 3795.15 1868.34 3795.15
4403.00 5566.98 4403.00 2219.11 4403.00
4871.10 6271.48 4871.10 2480.91 4871.10
Patron Acum
Patron Acum
Acum Prom.
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
R² = 0.996893034671064
Chart Title
UrubambaLinear (Urubamba)
0.00
2000.00
4000.00
6000.00
8000.00
10000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.99948723282873
Chart Title
TambobambaLinear (Tambobamba)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.997678195598012
Chart Title
CaicayLinear (Caicay)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
R² = 0.997908086458302
Chart Title
CapachicaLinear (Capachica)
0.00
2000.00
4000.00
6000.00
8000.00
10000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.99948723282873
Chart Title
TambobambaLinear (Tambobamba)
0.00 2000.00 4000.00 6000.00 8000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
R² = 0.997678195598012
Chart Title
CaicayLinear (Caicay)
12.50
246.60
500.80
681.00
844.00
1003.80
1471.10
1806.60
2088.10
2368.50
HUANGASCAR
0.00
2000.00
4000.00
6000.00
8000.00
10000.000.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
R² = 0.99948723282873
Chart Title
TambobambaLinear (Tambobamba)
216.10 1158.30 2176.10 356.30 425.90 51.20 6
13.90 710.50 833.70 947.30 1078.20 11
134.40 12153.90 13204.90 14146.70 15126.50 1632.90 170.00 18 t p t p t
26.10 19 1.0 216.1 21.0 32.6 41.04.30 20 2.0 158.3 22.0 68.2 42.0
32.60 21 3.0 176.1 23.0 99.8 43.068.20 22 4.0 56.3 24.0 141.9 44.099.80 23 5.0 25.9 25.0 121.7 45.0
141.90 24 6.0 1.2 26.0 130.3 46.0121.70 25 7.0 13.9 27.0 160.7 47.0130.30 26 8.0 10.5 28.0 67.9 48.0160.70 27 9.0 33.7 29.0 18.7 49.067.90 28 10.0 47.3 30.0 6.6 50.018.70 29 11.0 78.2 31.0 0.0 51.06.60 30 12.0 134.4 32.0 8.0 52.00.00 31 13.0 153.9 33.0 1.6 53.08.00 32 14.0 204.9 34.0 36.9 54.01.60 33 15.0 146.7 35.0 27.8 55.0
36.90 34 16.0 126.5 36.0 125.2 56.027.80 35 17.0 32.9 37.0 162.9 57.0
125.20 36 18.0 0.0 38.0 191.0 58.0162.90 37 19.0 26.1 39.0 80.4 59.0191.00 38 20.0 4.3 40.0 47.0 60.080.40 39
47.0040 Tendencia de la Media Tm
7.60 418.20 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:4.20 43
11.00 4445.20 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
36.30 4692.40 4798.40 4862.00 49
177.80 50102.10 5168.40 524.50 530.00 542.70 550.00 56 R^2= 0.02597.60 57 R= 0.16093477
48.30 58 N=12075.00 59 Tc= 1.7712877 > Tt=
200.00 60158.10 61 Eliminacion de la tendencia en la media116.60 6298.10 6399.00 64 Yt: Serie sin tendencia en la media3.30 655.70 66 135.3 1 a -0.27850.00 67 77.8 2 b 81.087
10.30 68 95.8 323.30 69 -23.7 445.40 70 -53.8 5
111.00 71 -78.2 6102.30 72 -65.2 7111.20 73 -68.4 891.50 74 -44.9 9
174.20 75 -31.0 1045.30 76 0.2 115.30 77 56.7 12
0.0078 76.4 13
9.00 79 127.7 140.00 80 69.8 15
15.2081 49.9 16 Tendencia de la Desviacion Estandar
60.70 82 -43.5 1772.70 83 -76.1 1878.00 84 -49.7 19 Calculamos la dispersión para cada serie annual:134.60 85 -71.2 20126.60 86 -42.6 21 t Promedio var127.20 87 -6.8 22 1 951.90 5293.1728628856621.90 88 25.1 23 2 1,037.80 4585.650726710787.00 89 67.5 24 3 705.40 3495.25633651546
La tendencia en la media SI es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
0.70 90 47.6 25 4 784.60 3792.27747990090.60 91 56.5 26 5 748.40 4719.218904953810.60 92 87.1 27 6 773.10 3033.70970605412.20 93 -5.4 28 7 663.10 2862.24240253225
84.50 94 -54.3 29 8 714.70 3,753.858.10 95 -66.1 30 9 660.10 2975.12061282072
150.70 96 -72.5 31 10 1374 3186.0643476002291.60 97 -64.2 32
139.30 98 -70.3 33 Con estos datos calculamos la tendencia para la desviacion estandar:87.10 99 -34.7 3437.60 100 -43.5 355.70 101 54.1 360.00 102 92.1 376.20 103 120.5 380.00 104 10.2 39
11.10 105 -22.9 4032.20 106 -62.1 41
126.70 107 -61.2 42122.60 108 -64.9 43161.60 109 -57.8 4495.80 110 -23.4 45
113.10 111 -32.0 4653.50 112 24.4 472.60 113 30.7 480.00 114 -5.4 490.00 115 110.6 505.70 116 35.2 51 R^2= 0.30032.40 117 1.8 52 R= 0.54799635035281
62.80 118 -61.8 53 N=1046.60 119 -66.0 54 Tc= 1.85296289 <
125.10 120 -63.1 5564.24 -65.5 56
60.1656824482858 -57.6 57 -1.6128-16.6 58 69.94110.3 59
135.6 6094.0 6152.8 62 -6234.6 6335.7 64
-59.7 65-57.0 66-62.4 67-51.8 68-38.6 69-16.2 7049.7 71
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.61281233484268 x + 69.9412296189873R² = 0.536303468861793
Chart Title
Sp Vs tLinear (Sp Vs t)
41.3 7250.4 7331.0 74
114.0 75-14.6 76-54.3 77-59.4 78-50.1 79 Promedio de la tablla inicial-58.8 80 Xp= 64.24-43.3 81 S= 60.17
2.4 8214.7 8320.3 8477.2 8569.5 8670.3 87
-34.7 88-49.3 89-55.3 90-55.1 91-54.9 92-53.0 9329.6 94
3.5 9596.3 9637.5 9785.5 9833.6 99
-15.6 100-47.3 101-52.7 102-46.2 103-52.1 104-40.7 105-19.4 10675.4 10771.6 108
110.9 10945.3 11062.9 111
3.6 112-47.0 113-49.3 114-49.1 115-43.1 116-46.1 11714.6 118
-1.3 11977.4 120
p t P t p t p7.6 61.0 158.1 81.0 15.2 101.0 5.78.2 62.0 116.6 82.0 60.7 102.0 0.04.2 63.0 98.1 83.0 72.7 103.0 6.2
11.0 64.0 99.0 84.0 78.0 104.0 0.045.2 65.0 3.3 85.0 134.6 105.0 11.136.3 66.0 5.7 86.0 126.6 106.0 32.292.4 67.0 0.0 87.0 127.2 107.0 126.798.4 68.0 10.3 88.0 21.9 108.0 122.662.0 69.0 23.3 89.0 7.0 109.0 161.6
177.8 70.0 45.4 90.0 0.7 110.0 95.8102.1 71.0 111.0 91.0 0.6 111.0 113.168.4 72.0 102.3 92.0 0.6 112.0 53.54.5 73.0 111.2 93.0 2.2 113.0 2.60.0 74.0 91.5 94.0 84.5 114.0 0.02.7 75.0 174.2 95.0 58.1 115.0 0.00.0 76.0 45.3 96.0 150.7 116.0 5.77.6 77.0 5.3 97.0 91.6 117.0 2.4
48.3 78.0 0.0 98.0 139.3 118.0 62.875.0 79.0 9.0 99.0 87.1 119.0 46.6
200.0 80.0 0.0 100.0 37.6 120.0 125.1
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
tabla Y1.66 t p t p t p
1.0 135.3 21.0 -42.6 41.0 -62.12.0 77.8 22.0 -6.8 42.0 -61.23.0 95.8 23.0 25.1 43.0 -64.94.0 -23.7 24.0 67.5 44.0 -57.8
Yt=Xt-Tmt 5.0 -53.8 25.0 47.6 45.0 -23.46.0 -78.2 26.0 56.5 46.0 -32.07.0 -65.2 27.0 87.1 47.0 24.48.0 -68.4 28.0 -5.4 48.0 30.79.0 -44.9 29.0 -54.3 49.0 -5.4
10.0 -31.0 30.0 -66.1 50.0 110.611.0 0.2 31.0 -72.5 51.0 35.212.0 56.7 32.0 -64.2 52.0 1.813.0 76.4 33.0 -70.3 53.0 -61.814.0 127.7 34.0 -34.7 54.0 -66.015.0 69.8 35.0 -43.5 55.0 -63.116.0 49.9 36.0 54.1 56.0 -65.517.0 -43.5 37.0 92.1 57.0 -57.618.0 -76.1 38.0 120.5 58.0 -16.6
19.0 -49.7 39.0 10.2 59.0 10.3
20.0 -71.2 40.0 -22.9 60.0 135.6
Tendencia de la Desviacion Estandar
Calculamos la dispersión para cada serie annual:
Sp72.7541948167.7174329659.12069296
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
61.5814702668.6965712855.07912223
53.49992961.2683048854.5446662256.44523317
Con estos datos calculamos la tendencia para la desviacion estandar:
tabla ZTt= 1.86 t p t p t
1.0 2.0 21.0 -1.2 41.02.0 1.2 22.0 -0.2 42.03.0 1.5 23.0 0.8 43.04.0 -0.4 24.0 2.2 44.05.0 -0.9 25.0 1.6 45.06.0 -1.3 26.0 2.0 46.07.0 -1.1 27.0 3.3 47.0
3.8162 8.0 -1.2 28.0 -0.2 48.09.0 -0.8 29.0 -2.3 49.0
10.0 -0.6 30.0 -3.1 50.011.0 0.0 31.0 -3.6 51.012.0 1.1 32.0 -3.5 52.013.0 1.6 33.0 -4.2 53.014.0 2.7 34.0 -2.3 54.015.0 1.5 35.0 -3.2 55.016.0 1.1 36.0 4.6 56.017.0 -1.0 37.0 9.0 57.0
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.61281233484268 x + 69.9412296189873R² = 0.536303468861793
Chart Title
Sp Vs tLinear (Sp Vs t)
18.0 -1.9 38.0 13.9 58.019.0 -1.3 39.0 1.4 59.020.0 -1.9 40.0 -4.2 60.0
t p t p t p1.0 183.4 21.0 -6.9 41.0 -914.32.0 134.4 22.0 52.4 42.0 -1,606.63.0 152.8 23.0 110.2 43.0 -6,548.44.0 41.8 24.0 194.3 44.0 3,468.25.0 11.9 25.0 160.9 45.0 597.56.0 -13.9 26.0 185.5 46.0 517.17.0 -2.7 27.0 262.8 47.0 -186.38.0 -7.9 28.0 51.2 48.0 -182.89.0 15.5 29.0 -76.8 49.0 100.3
10.0 29.6 30.0 -120.3 50.0 -557.911.0 64.4 31.0 -154.3 51.0 -107.912.0 131.6 32.0 -146.4 52.0 56.513.0 158.1 33.0 -188.7 53.0 303.614.0 226.5 34.0 -74.0 54.0 295.915.0 156.0 35.0 -129.9 55.0 266.516.0 132.2 36.0 338.4 56.0 257.617.0 2.8 37.0 604.0 57.0 221.918.0 -47.6 38.0 901.9 58.0 106.619.0 -11.8 39.0 151.2 59.0 39.620.0 -49.5 40.0 -190.1 60.0 -239.9
1 183.42 134.43 152.84 41.85 11.96 -13.97 -2.78 -7.99 15.5
10 29.611 64.412 131.613 158.114 226.515 156.016 132.2
17 2.818 -47.619 -11.820 -49.521 -6.922 52.423 110.2 1 135.2914 135.291390552461 77.7699524 194.3 2 77.76995 76.4334302759767 127.711925 160.9 3 95.84838 47.5754093070627 56.4539226 185.5 4 -23.67306 92.117390601635 120.495927 262.8 5 -53.7945 -5.44053944337364 110.63828 51.2 6 -78.216 94.0013909547925 52.7799729 -76.8 7 -65.23751 50.443450709939 31.0219230 -120.3 8 -68.35902 77.1854097302557 69.4639531 -154.3 9 -44.88051 37.5274592095614 85.5059532 -146.4 10 -31.00203 110.869371650338 45.3479533 -188.7 11 0.1764834 -74.0 12 56.6549435 -129.9 13 76.4334336 338.4 14 127.711937 604.0 15 69.7904338 901.9 16 49.8689539 151.2 17 -43.452540 -190.1 18 -76.074
-914.3 19 -49.69553-1606.609 20 -71.217-6548.438 21 -42.63851
3468.23 22 -6.76002597.4969 23 25.11848517.1428 24 67.49695
-186.2828 25 47.57541-182.7657 26 56.45392100.2612 27 87.13239
-557.9353 28 -5.38901-107.8611 29 -54.3105256.48002 30 -66.13201303.6474 31 -72.4535295.9429 32 -64.17501266.4753 33 -70.2965257.6177 34 -34.718221.8764 35 -43.53951
106.64 36 54.1389639.55208 37 92.11739
-239.9298 38 120.4959-134.6284 39 10.17448-41.43036 40 -22.94703-1.426789 41 -62.0685-0.375202 42 -61.19002
167.1552 43 -64.91151158.1933 44 -57.83301162.7754 45 -23.35456142.7552 46 -31.97601120.3678 47 24.4024486.91551 48 30.68096
-2.839921 49 -5.44053910.4744 50 110.638
0.734049 51 35.2164726.45805 52 1.79498
-70.20265 53 -61.826580.94978 54 -66.048124.5101 55 -63.0695128.1785 56 -65.491116.6704 57 -57.6125124.1204 58 -16.63403
59 10.3444460 135.62361 94.0013962 52.7799763 34.5584464 35.7369565 -59.6845166 -57.00667 -62.427568 -51.84969 -38.5705170 -16.1920771 49.6864272 41.2649573 50.4434574 31.0219275 114.000576 -14.6210777 -54.3425178 -59.36479 -50.0855180 -58.80781 -43.3285182 2.4499883 14.7284984 20.3069585 77.1854186 69.4639587 70.3424488 -34.6790189 -49.300590 -55.322
91 -55.143592 -54.86593 -52.986594 29.5919795 3.4704696 96.3489497 37.5274698 85.5059599 33.58443
100 -15.63705101 -47.2585102 -52.68103 -46.2015104 -52.123105 -40.7445106 -19.36601107 75.41243108 71.59091109 110.8694110 45.34795111 62.92645112 3.604971113 -47.01651114 -49.338115 -49.0595116 -43.081117 -46.1025118 14.57599119 -1.345521120 77.43292
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
t P t p t p61.0 94.0 81.0 -43.3 101.0 -47.362.0 52.8 82.0 2.4 102.0 -52.763.0 34.6 83.0 14.7 103.0 -46.264.0 35.7 84.0 20.3 104.0 -52.165.0 -59.7 85.0 77.2 105.0 -40.766.0 -57.0 86.0 69.5 106.0 -19.467.0 -62.4 87.0 70.3 107.0 75.468.0 -51.8 88.0 -34.7 108.0 71.669.0 -38.6 89.0 -49.3 109.0 110.970.0 -16.2 90.0 -55.3 110.0 45.371.0 49.7 91.0 -55.1 111.0 62.972.0 41.3 92.0 -54.9 112.0 3.673.0 50.4 93.0 -53.0 113.0 -47.074.0 31.0 94.0 29.6 114.0 -49.375.0 114.0 95.0 3.5 115.0 -49.176.0 -14.6 96.0 96.3 116.0 -43.177.0 -54.3 97.0 37.5 117.0 -46.178.0 -59.4 98.0 85.5 118.0 14.6
79.0 -50.1 99.0 33.6 119.0 -1.3
80.0 -58.8 100.0 -15.6 120.0 77.4
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
p t P t p t p-16.3 61.0 -3.3 81.0 0.7 101.0 0.5-27.8 62.0 -1.8 82.0 0.0 102.0 0.6
-109.9 63.0 -1.1 83.0 -0.2 103.0 0.556.6 64.0 -1.1 84.0 -0.3 104.0 0.58.9 65.0 1.7 85.0 -1.1 105.0 0.47.5 66.0 1.6 86.0 -1.0 106.0 0.2-4.2 67.0 1.6 87.0 -1.0 107.0 -0.7-4.1 68.0 1.3 88.0 0.5 108.0 -0.70.6 69.0 0.9 89.0 0.7 109.0 -1.0
-10.3 70.0 0.4 90.0 0.7 110.0 -0.4-2.9 71.0 -1.1 91.0 0.7 111.0 -0.6-0.1 72.0 -0.9 92.0 0.7 112.0 0.04.0 73.0 -1.1 93.0 0.7 113.0 0.43.9 74.0 -0.6 94.0 -0.4 114.0 0.43.4 75.0 -2.2 95.0 0.0 115.0 0.43.2 76.0 0.3 96.0 -1.1 116.0 0.42.6 77.0 1.0 97.0 -0.4 117.0 0.4
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.61281233484268 x + 69.9412296189873R² = 0.536303468861793
Chart Title
Sp Vs tLinear (Sp Vs t)
0.7 78.0 1.1 98.0 -1.0 118.0 -0.1-0.4 79.0 0.9 99.0 -0.4 119.0 0.0-5.1 80.0 1.0 100.0 0.2 120.0 -0.6
t P t p t p61.0 -134.6 81.0 107.2 101.0 94.862.0 -41.4 82.0 61.9 102.0 97.863.0 -1.4 83.0 50.4 103.0 93.164.0 -0.4 84.0 45.6 104.0 96.365.0 167.2 85.0 -4.9 105.0 88.966.0 158.2 86.0 3.5 106.0 75.867.0 162.8 87.0 4.1 107.0 20.068.0 142.8 88.0 93.2 108.0 22.969.0 120.4 89.0 104.5 109.0 1.270.0 86.9 90.0 108.5 110.0 38.871.0 -2.8 91.0 107.4 111.0 29.572.0 10.5 92.0 106.3 112.0 62.373.0 0.7 93.0 104.1 113.0 89.474.0 26.5 94.0 42.4 114.0 90.375.0 -70.2 95.0 61.7 115.0 89.876.0 80.9 96.0 -4.1 116.0 86.477.0 124.5 97.0 38.1 117.0 87.678.0 128.2 98.0 5.9 118.0 57.079.0 116.7 99.0 41.7 119.0 64.980.0 124.1 100.0 74.5 120.0 26.5
95.84838 -23.67306 -53.7945 -78.216 -65.23751 -68.35902 -44.88051 -31.00203 0.1764869.79043 49.86895 -43.4525 -76.074 -49.69553 -71.217 -42.63851 -6.76002 25.1184887.13239 -5.38901 -54.31052 -66.13201 -72.4535 -64.17501 -70.2965 -34.718 -43.5395110.17448 -22.94703 -62.0685 -61.19002 -64.91151 -57.83301 -23.35456 -31.97601 24.4024435.21647 1.79498 -61.8265 -66.048 -63.0695 -65.491 -57.6125 -16.63403 10.3444434.55844 35.73695 -59.68451 -57.006 -62.4275 -51.849 -38.57051 -16.19207 49.68642114.0005 -14.62107 -54.34251 -59.364 -50.08551 -58.807 -43.32851 2.44998 14.7284970.34244 -34.67901 -49.3005 -55.322 -55.1435 -54.865 -52.9865 29.59197 3.4704633.58443 -15.63705 -47.2585 -52.68 -46.2015 -52.123 -40.7445 -19.36601 75.4124362.92645 3.604971 -47.01651 -49.338 -49.0595 -43.081 -46.1025 14.57599 -1.345521
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.278531405439711 x + 81.0869511958953R² = 0.0259320002477644
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )Linear (Recta de Regrecion Lineal t vs P )
56.6549467.4969554.1389630.68096
135.62341.26495 -59.364 -50.08551 -58.80720.30695 85.50595 33.58443 -15.6370596.3489471.5909177.43292
220.00 1160.00 2165.00 340.00 412.00 53.00 6
19.00 712.00 88.00 9
76.00 1078.00 11
183.00 12113.00 13220.00 14158.00 1559.00 1611.00 170.00 18 t p t p t p t
23.00 19 1.0 220.0 21.0 54.0 41.0 23.0 61.014.00 20 2.0 160.0 22.0 59.0 42.0 9.0 62.054.00 21 3.0 165.0 23.0 97.0 43.0 6.0 63.059.00 22 4.0 40.0 24.0 109.0 44.0 11.0 64.097.00 23 5.0 12.0 25.0 151.0 45.0 59.0 65.0
109.00 24 6.0 3.0 26.0 147.0 46.0 44.0 66.0151.00 25 7.0 19.0 27.0 135.0 47.0 66.0 67.0147.00 26 8.0 12.0 28.0 75.0 48.0 152.0 68.0135.00 27 9.0 8.0 29.0 15.0 49.0 75.0 69.075.00 28 10.0 76.0 30.0 7.0 50.0 116.0 70.015.00 29 11.0 78.0 31.0 0.0 51.0 114.0 71.07.00 30 12.0 183.0 32.0 2.0 52.0 63.0 72.00.00 31 13.0 113.0 33.0 13.0 53.0 2.0 73.02.00 32 14.0 220.0 34.0 50.0 54.0 0.0 74.0
13.00 33 15.0 158.0 35.0 51.0 55.0 0.0 75.050.00 34 16.0 59.0 36.0 98.0 56.0 3.0 76.051.00 35 17.0 11.0 37.0 241.0 57.0 2.0 77.098.00 36 18.0 0.0 38.0 162.0 58.0 65.0 78.0
241.00 37 19.0 23.0 39.0 70.0 59.0 88.0 79.0162.00 38 20.0 14.0 40.0 42.0 60.0 90.0 80.070.00 39
42.0040 Tendencia de la Media Tm
23.00 419.00 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:6.00 43
11.00 4459.00 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
44.00 4666.00 47
152.00 4875.00 49
116.00 50114.00 5163.00 522.00 530.00 540.00 553.00 56 R^2= 0.01382.00 57 R= 0.1174734
65.00 58 N=12088.00 59 Tc= 1.284985 < Tt= 1.6690.00 60
140.00 61215.00 6296.00 63
130.00 641.00 659.00 660.00 677.00 684.00 69
70.00 7089.00 71
133.00 72155.00 73163.00 74208.00 7568.00 7611.00 77
0.0078 Tendencia de la Media Tm
3.00 790.00 80
3.0081 Tendencia de la Desviacion Estandar
44.00 8288.00 8387.00 84 Calculamos la dispersión para cada serie annual:
120.00 8594.00 86 t Promedio var Sp64.00 87 1 976.00 6319.515 79.4953781838.00 88 2 917.00 4370.265 66.1079815.00 89 3 744.00 3389.455 58.21902220.00 90 4 885.00 5396.75 73.46257551
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
12.00 91 5 618.00 2209.545 47.005802350.00 92 6 894.00 5090.455 71.347421448.00 93 7 830.00 5314.697 72.90196822
14.00 94 8 710.00 5862.697 76.5682504262.00 95 9 746.00 6616.515 81.3419642793.00 96 10 1374 3498.904 59.15153612
278.00 9773.00 98 Con estos datos calculamos la tendencia para la desviacion estandar:
101.00 9954.00 1001.00 1010.00 1020.00 103
11.00 1044.00 105
51.00 10633.00 107
140.00 108161.60 10995.80 110
113.10 11153.50 1122.60 1130.00 1140.00 1155.70 116 R^2= 0.00412.40 117 R= 0.064031
62.80 118 N=1046.60 119 Tc= 0.18148012 < Tt= 1.86
125.10 120 La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = 0.229995410265057 x + 67.2952152110704R² = 0.00410233965346485
Chart Title
Sp Vs tLinear (Sp Vs t)
P t p t p140.0 81.0 3.0 101.0 1.0215.0 82.0 44.0 102.0 0.096.0 83.0 88.0 103.0 0.0
130.0 84.0 87.0 104.0 11.01.0 85.0 120.0 105.0 4.09.0 86.0 94.0 106.0 51.00.0 87.0 64.0 107.0 33.07.0 88.0 38.0 108.0 140.04.0 89.0 5.0 109.0 161.6
70.0 90.0 0.0 110.0 95.889.0 91.0 12.0 111.0 113.1
133.0 92.0 0.0 112.0 53.5155.0 93.0 8.0 113.0 2.6163.0 94.0 14.0 114.0 0.0208.0 95.0 262.0 115.0 0.068.0 96.0 93.0 116.0 5.711.0 97.0 278.0 117.0 2.40.0 98.0 73.0 118.0 62.83.0 99.0 101.0 119.0 46.60.0 100.0 54.0 120.0 125.1
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
Tendencia de la Media Tm
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = 0.229995410265057 x + 67.2952152110704R² = 0.00410233965346485
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.226345716882374 x + 80.2705793904532R² = 0.01375767714604
Chart Title
Recta de Regrecion Lineal t vs P
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = 0.229995410265057 x + 67.2952152110704R² = 0.00410233965346485
Chart Title
Sp Vs tLinear (Sp Vs t)
269.70 1168.10 2
157.50 380.30 432.40 5
1.90 619.20 729.30 820.10 982.10 10
113.30 1195.30 12
121.50 13161.40 14144.10 15
76.30 166.30 17
11.50 18 t p t p t p t53.00 19 1.0 269.7 21.0 32.6 41.0 11.7 61.023.80 20 2.0 168.1 22.0 72.7 42.0 9.3 62.032.60 21 3.0 157.5 23.0 47.2 43.0 26.7 63.072.70 22 4.0 80.3 24.0 139.8 44.0 26.9 64.047.20 23 5.0 32.4 25.0 152.0 45.0 28.9 65.0
139.80 24 6.0 1.9 26.0 162.3 46.0 43.9 66.0152.00 25 7.0 19.2 27.0 122.7 47.0 51.7 67.0162.30 26 8.0 29.3 28.0 55.9 48.0 107.9 68.0122.70 27 9.0 20.1 29.0 13.7 49.0 64.0 69.0
55.90 28 10.0 82.1 30.0 5.8 50.0 158.6 70.013.70 29 11.0 113.3 31.0 2.0 51.0 72.4 71.0
5.80 30 12.0 95.3 32.0 24.2 52.0 36.8 72.02.00 31 13.0 121.5 33.0 6.8 53.0 8.4 73.0
24.20 32 14.0 161.4 34.0 18.8 54.0 0.0 74.06.80 33 15.0 144.1 35.0 23.1 55.0 4.7 75.0
18.80 34 16.0 76.3 36.0 140.4 56.0 4.8 76.023.10 35 17.0 6.3 37.0 177.9 57.0 8.6 77.0
140.40 36 18.0 11.5 38.0 122.9 58.0 32.7 78.0177.90 37 19.0 53.0 39.0 80.2 59.0 47.4 79.0122.90 38 20.0 23.8 40.0 13.5 60.0 68.4 80.0
80.20 39
13.50 40 Tendencia de la Media Tm11.70 41
9.30 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:26.70 4326.90 4428.90 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
43.90 4651.70 47
107.90 4864.00 49
158.60 5072.40 5136.80 52
8.40 530.00 544.70 554.80 56 R^2= 0.01358.60 57 R= 0.1161895
32.70 58 N=12047.40 59 Tc= 1.2707477 < Tt= 1.6668.40 60
176.20 6156.50 6289.60 6335.90 64
1.80 652.40 660.00 67
24.80 687.10 69
70.60 7063.50 71
116.50 72134.10 73
87.20 74161.90 75
40.50 7615.80 77
0.40 78 Tendencia de la Media Tm8.70 79
12.00 80
7.70 81 Tendencia de la Desviacion Estandar37.10 8239.10 83
135.40 84 Calculamos la dispersión para cada serie annual:152.10 85151.60 86 t Promedio var Sp
77.10 87 1 1,069.20 6211.651 78.8140281236.60 88 2 890.20 3002.543 54.7954670916.80 89 3 727.70 4086.62 63.9266745719.60 90 4 701.50 2826.925 53.16883538
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
4.40 91 5 506.80 2056.94 45.3535023218.20 92 6 644.90 2923.722 54.071454518.60 93 7 679.90 3334.876 57.7483844862.90 94 8 761.40 3403.972 58.3435715245.50 95 9 684.30 3642.479 60.35295026
158.00 96 10 1374 5607.311 74.88198281145.40 97121.60 98 Con estos datos calculamos la tendencia para la desviacion estandar:110.70 99
23.00 1001.60 1010.00 102
20.00 1033.40 1047.70 1057.80 106
133.70 107109.40 108231.20 109109.60 110165.00 111
15.10 1124.40 113
10.10 11412.50 115
0.30 116 R^2= 0.0000511.50 117 R= 0.00707174.90 118 N=1039.60 119 Tc= 0.0200005 < Tt= 1.86
145.80 120 La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = − 0.0117875231118155 x + 60.2105164827573R² = 1.24327065755825E-05
Chart Title
Sp Vs tLinear (Sp Vs t)
P t p t p176.2 81.0 7.7 101.0 1.656.5 82.0 37.1 102.0 0.089.6 83.0 39.1 103.0 20.035.9 84.0 135.4 104.0 3.41.8 85.0 152.1 105.0 7.72.4 86.0 151.6 106.0 7.80.0 87.0 77.1 107.0 133.7
24.8 88.0 36.6 108.0 109.47.1 89.0 16.8 109.0 231.2
70.6 90.0 19.6 110.0 109.663.5 91.0 4.4 111.0 165.0
116.5 92.0 18.2 112.0 15.1134.1 93.0 18.6 113.0 4.487.2 94.0 62.9 114.0 10.1
161.9 95.0 45.5 115.0 12.540.5 96.0 158.0 116.0 0.315.8 97.0 145.4 117.0 11.50.4 98.0 121.6 118.0 74.98.7 99.0 110.7 119.0 39.6
12.0 100.0 23.0 120.0 145.8
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Tendencia de la Media Tm
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = − 0.0117875231118155 x + 60.2105164827573R² = 1.24327065755825E-05
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.200912781264828 x + 74.5376874766524R² = 0.0135320571190195
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
f(x) = − 0.0117875231118155 x + 60.2105164827573R² = 1.24327065755825E-05
Chart Title
Sp Vs tLinear (Sp Vs t)
213.70 1176.90 2219.40 3
75.40 49.00 5
33.30 612.20 718.50 841.50 971.90 1037.10 11
106.50 12105.30 13225.10 14168.60 15
94.90 1612.00 17
2.00 18 t p t p t p t16.70 19 1.0 213.7 21.0 65.0 41.0 6.2 61.012.00 20 2.0 176.9 22.0 145.4 42.0 0.8 62.065.00 21 3.0 219.4 23.0 88.6 43.0 12.7 63.0
145.40 22 4.0 75.4 24.0 111.0 44.0 23.7 64.088.60 23 5.0 9.0 25.0 236.7 45.0 39.8 65.0
111.00 24 6.0 33.3 26.0 151.5 46.0 17.2 66.0236.70 25 7.0 12.2 27.0 171.3 47.0 29.2 67.0151.50 26 8.0 18.5 28.0 49.2 48.0 89.5 68.0171.30 27 9.0 41.5 29.0 18.3 49.0 112.8 69.0
49.20 28 10.0 71.9 30.0 6.8 50.0 217.1 70.018.30 29 11.0 37.1 31.0 2.4 51.0 99.6 71.0
6.80 30 12.0 106.5 32.0 3.4 52.0 24.5 72.02.40 31 13.0 105.3 33.0 43.7 53.0 0.0 73.03.40 32 14.0 225.1 34.0 31.5 54.0 0.0 74.0
43.70 33 15.0 168.6 35.0 25.6 55.0 0.0 75.031.50 34 16.0 94.9 36.0 134.8 56.0 2.6 76.025.60 35 17.0 12.0 37.0 205.6 57.0 34.6 77.0
134.80 36 18.0 2.0 38.0 182.9 58.0 74.9 78.0205.60 37 19.0 16.7 39.0 105.6 59.0 67.7 79.0182.90 38 20.0 12.0 40.0 48.9 60.0 101.4 80.0105.60 39
48.90 40 Tendencia de la Media Tm6.20 410.80 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:
12.70 4323.70 4439.80 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
17.20 4629.20 4789.50 48
112.80 49217.10 50
99.60 5124.50 52
0.00 530.00 540.00 552.60 56 R^2= 0.0413
34.60 57 R= 0.2032240174.90 58 N=12067.70 59 Tc= 2.2546268 > Tt= 1.66
101.40 60243.00 61 Eliminacion de la tendencia en la media
64.10 62134.10 63
34.50 64 Yt: Serie sin tendencia en la media Yt=Xt-Tmt0.60 656.80 66 130.1 1 a -3.9170.00 67 97.3 2 b 87.4679.20 68 143.7 3
32.00 69 3.6 425.90 70 -58.9 569.00 71 -30.7 665.50 72 -47.8 779.40 73 -37.6 824.70 74 -10.7 9
168.50 75 23.6 1046.60 76 -7.3 11
4.20 77 66.0 12
0.00 78 68.8 13 Tendencia de la Media Tm3.20 79 192.5 146.40 80 139.9 15
41.50 81 70.1 16 Tendencia de la Desviacion Estandar9.00 82 -8.9 17
65.90 83 -15.0 18138.30 84 3.7 19 Calculamos la dispersión para cada serie annual:208.60 85 2.9 20
77.60 86 59.8 21 t Promedio var Sp124.90 87 144.1 22 1 1,015.40 4920.18 70.14399244
0.00 88 91.2 23 2 1,046.60 4589.14 67.743195190.00 89 117.5 24 3 875.20 5297.352 72.78290703
La tendencia en la media SI es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0.00 90 247.2 25 4 762.10 3799.534 61.640360260.00 91 165.9 26 5 735.20 3909.064 62.522505140.00 92 189.6 27 6 684.70 4174.348 64.609192330.00 93 71.4 28 7 587.70 3253.351 57.03815664
44.00 94 44.4 29 8 640.40 5,371.2 73.2883311812.40 95 36.8 30 9 592.10 2202.23 46.92792365
172.90 96 36.4 31 10 1374 3804.109 61.677456998.70 97 41.3 32
156.60 98 85.5 33 Con estos datos calculamos la tendencia para la desviacion estandar:96.80 99 77.2 3452.60 100 75.2 35
0.80 101 188.3 360.00 102 263.1 373.50 103 244.3 380.00 104 170.9 395.00 105 118.1 40
33.50 106 79.3 4172.10 107 77.8 4272.50 108 93.7 43
172.10 109 108.6 44182.60 110 128.6 45
44.60 111 109.9 4635.60 112 125.8 4714.30 113 190.0 48
0.00 114 217.3 490.00 115 325.5 503.10 116 211.9 51 R^2= 0.2848
23.70 117 140.7 52 R= 0.53366735.60 118 120.1 53 N=1095.70 119 124.1 54 Tc= 1.78484798 < Tt= 1.86
105.40 120 128.0 55134.5 56170.4 57214.6 58211.3 59249.0 60394.5 61219.5 62293.4 63197.7 64167.7 65177.9 66175.0 67188.1 68214.8 69212.6 70259.6 71260.1 72
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.40059711282392 x + 71.5406861957969R² = 0.284751734754905
Chart Title
Sp Vs tLinear (Sp Vs t)
277.9 73227.1 74374.8 75256.8 76218.3 77218.1 78225.2 79232.3 80271.3 81242.7 82303.5 83379.9 84454.1 85327.0 86378.2 87257.2 88261.1 89265.1 90269.0 91272.9 92276.8 93324.7 94297.0 95461.5 96391.2 97453.0 98397.1 99356.8 100309.0 101312.1 102319.5 103319.9 104328.8 105361.2 106403.8 107408.1 108511.6 109526.0 110391.9 111386.8 112369.5 113359.1 114363.0 115370.0 116394.5 117410.3 118474.4 119488.0 120
P t p t p243.0 81.0 41.5 101.0 0.864.1 82.0 9.0 102.0 0.0
134.1 83.0 65.9 103.0 3.534.5 84.0 138.3 104.0 0.00.6 85.0 208.6 105.0 5.06.8 86.0 77.6 106.0 33.50.0 87.0 124.9 107.0 72.19.2 88.0 0.0 108.0 72.5
32.0 89.0 0.0 109.0 172.125.9 90.0 0.0 110.0 182.669.0 91.0 0.0 111.0 44.665.5 92.0 0.0 112.0 35.679.4 93.0 0.0 113.0 14.324.7 94.0 44.0 114.0 0.0
168.5 95.0 12.4 115.0 0.046.6 96.0 172.9 116.0 3.14.2 97.0 98.7 117.0 23.70.0 98.0 156.6 118.0 35.63.2 99.0 96.8 119.0 95.76.4 100.0 52.6 120.0 105.4
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
t p t p t p t P t1.0 130.1 21.0 59.8 41.0 79.3 61.0 394.5 81.02.0 97.3 22.0 144.1 42.0 77.8 62.0 219.5 82.03.0 143.7 23.0 91.2 43.0 93.7 63.0 293.4 83.04.0 3.6 24.0 117.5 44.0 108.6 64.0 197.7 84.05.0 -58.9 25.0 247.2 45.0 128.6 65.0 167.7 85.06.0 -30.7 26.0 165.9 46.0 109.9 66.0 177.9 86.07.0 -47.8 27.0 189.6 47.0 125.8 67.0 175.0 87.08.0 -37.6 28.0 71.4 48.0 190.0 68.0 188.1 88.09.0 -10.7 29.0 44.4 49.0 217.3 69.0 214.8 89.0
10.0 23.6 30.0 36.8 50.0 325.5 70.0 212.6 90.011.0 -7.3 31.0 36.4 51.0 211.9 71.0 259.6 91.012.0 66.0 32.0 41.3 52.0 140.7 72.0 260.1 92.013.0 68.8 33.0 85.5 53.0 120.1 73.0 277.9 93.014.0 192.5 34.0 77.2 54.0 124.1 74.0 227.1 94.015.0 139.9 35.0 75.2 55.0 128.0 75.0 374.8 95.016.0 70.1 36.0 188.3 56.0 134.5 76.0 256.8 96.017.0 -8.9 37.0 263.1 57.0 170.4 77.0 218.3 97.018.0 -15.0 38.0 244.3 58.0 214.6 78.0 218.1 98.0
19.0 3.7 39.0 170.9 59.0 211.3 79.0 225.2 99.0
20.0 2.9 40.0 118.1 60.0 249.0 80.0 232.3 100.0
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
1 130.1498 130.1498 97.26692 143.68392 97.26692 68.75392 192.4709 139.88793 143.6839 247.1579 165.8749 189.59194 3.60098 263.0619 244.2789 170.8965 -58.882 217.2659 325.4829 211.96 -30.66505 394.4699 219.487 293.40397 -47.84802 -47.84802 277.874 227.0918 -37.63103 454.0779 326.995 378.2129 -10.71401 391.1819 452.9989 397.116
10 23.60296 511.5858 526.0029 391.9211 -7.2800112 66.0369613 68.7539214 192.470915 139.887916 70.1048917 -8.8780218 -14.96119 3.6559720 2.87298
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.40059711282392 x + 71.5406861957969R² = 0.284751734754905
Chart Title
Sp Vs tLinear (Sp Vs t)
21 59.7899922 144.106923 91.2239524 117.540925 247.157926 165.874927 189.591928 71.4089929 44.4259630 36.8429931 36.3599932 41.2769933 85.4939734 77.21135 75.2279836 188.34537 263.061938 244.278939 170.89640 118.11341 79.3342 77.84743 93.6639744 108.58145 128.59846 109.91547 125.83248 190.048949 217.265950 325.482951 211.952 140.71753 120.13454 124.05155 127.96856 134.48557 170.40258 214.61959 211.33660 248.952961 394.469962 219.48763 293.403964 197.72165 167.73866 177.85567 174.97268 188.089
69 214.80670 212.62371 259.6472 260.056973 277.87474 227.09175 374.807976 256.824977 218.34278 218.05979 225.17680 232.29381 271.3182 242.72783 303.54484 379.86185 454.077986 326.99587 378.21288 257.22989 261.14690 265.06391 268.9892 272.89793 276.81494 324.73195 297.04896 461.464997 391.181998 452.998999 397.116
100 356.833101 308.95102 312.067103 319.484104 319.901105 328.818106 361.235107 403.7519108 408.0689109 511.5858110 526.0029111 391.92112 386.8369113 369.454114 359.071115 362.988116 370.005
117 394.522118 410.339119 474.356120 487.973
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
p t p271.3 101.0 309.0242.7 102.0 312.1303.5 103.0 319.5379.9 104.0 319.9454.1 105.0 328.8327.0 106.0 361.2378.2 107.0 403.8257.2 108.0 408.1261.1 109.0 511.6265.1 110.0 526.0269.0 111.0 391.9272.9 112.0 386.8276.8 113.0 369.5324.7 114.0 359.1297.0 115.0 363.0461.5 116.0 370.0391.2 117.0 394.5453.0 118.0 410.3
397.1 119.0 474.4
356.8 120.0 488.0
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.391729411840578 x + 87.4670953285331R² = 0.041314945147991
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
3.60098 -58.882 -30.66505 -47.84802 -37.63103 -10.71401 23.60296 -7.28001 66.0369670.10489 -8.87802 -14.961 3.65597 2.87298 59.78999 144.1069 91.22395 117.540971.40899 44.42596 36.84299 36.35999 41.27699 85.49397 77.211 75.22798 188.345
118.113 79.33 77.847 93.66397 108.581 128.598 109.915 125.832 190.0489140.717 120.134 124.051 127.968 134.485 170.402 214.619 211.336 248.9529197.721 167.738 177.855 174.972 188.089 214.806 212.623 259.64 260.0569
374.8079 256.8249 218.342 218.059 225.176 232.293 271.31 242.727 303.544257.229 261.146 265.063 268.98 272.897 276.814 324.731 297.048 461.4649356.833 308.95 312.067 319.484 319.901 328.818 361.235 403.7519 408.0689
386.8369 369.454 359.071 362.988 370.005 394.522 410.339 474.356 487.973
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.40059711282392 x + 71.5406861957969R² = 0.284751734754905
Chart Title
Sp Vs tLinear (Sp Vs t)
379.861
193.50 1137.40 2146.70 3
18.30 49.70 50.00 6
18.60 74.30 85.80 9
45.80 1069.30 1192.50 1287.10 13
162.80 14103.20 15
33.80 164.40 173.80 18 t p t p t p t
44.40 19 1.0 193.5 21.0 9.3 41.0 1.3 61.02.00 20 2.0 137.4 22.0 37.2 42.0 15.4 62.09.30 21 3.0 146.7 23.0 88.4 43.0 8.9 63.0
37.20 22 4.0 18.3 24.0 122.3 44.0 5.3 64.088.40 23 5.0 9.7 25.0 108.9 45.0 25.8 65.0
122.30 24 6.0 0.0 26.0 102.7 46.0 28.9 66.0108.90 25 7.0 18.6 27.0 85.5 47.0 40.1 67.0102.70 26 8.0 4.3 28.0 32.3 48.0 89.5 68.0
85.50 27 9.0 5.8 29.0 2.4 49.0 125.8 69.032.30 28 10.0 45.8 30.0 5.9 50.0 72.4 70.0
2.40 29 11.0 69.3 31.0 0.0 51.0 67.7 71.05.90 30 12.0 92.5 32.0 22.1 52.0 28.7 72.00.00 31 13.0 87.1 33.0 3.0 53.0 0.0 73.0
22.10 32 14.0 162.8 34.0 23.8 54.0 0.0 74.03.00 33 15.0 103.2 35.0 22.3 55.0 1.0 75.0
23.80 34 16.0 33.8 36.0 115.1 56.0 3.7 76.022.30 35 17.0 4.4 37.0 143.0 57.0 2.7 77.0
115.10 36 18.0 3.8 38.0 102.7 58.0 12.6 78.0143.00 37 19.0 44.4 39.0 91.0 59.0 46.6 79.0102.70 38 20.0 2.0 40.0 13.2 60.0 56.1 80.0
91.00 39
13.2040 Tendencia de la Media Tm
1.30 4115.40 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:
8.90 435.30 44
25.80 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
28.90 4640.10 4789.50 48
125.80 4972.40 5067.70 5128.70 52
0.00 530.00 541.00 553.70 56 R^2= 0.00062.70 57 R= 0.0244949
12.60 58 N=12046.60 59 Tc= 0.2661626 < Tt= 1.6656.10 60
162.80 6179.40 62
119.20 6332.80 64
0.00 6530.00 66
0.00 6712.70 68
4.00 6938.70 7067.20 71
111.40 7289.40 7363.90 74
129.40 7539.80 76
7.40 77
0.0078
1.30 790.00 80
3.0081 Tendencia de la Desviacion Estandar
30.60 8267.20 8379.20 84 Calculamos la dispersión para cada serie annual:
138.70 85154.70 86 t Promedio var Sp
58.60 87 1 741.90 4387.032 66.234675438.10 88 2 698.70 2859.312 53.472536485.80 89 3 524.00 2066.22 45.455688473.60 90 4 565.10 2209.57 47.00606089
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0.20 91 5 417.30 1587.478 39.843172983.20 92 6 658.20 2862.835 53.505467328.00 93 7 511.20 1856.103 43.08251032
43.90 94 8 610.80 3399.065 58.3015045657.90 95 9 501.10 2164.291 46.52193596
128.10 96 10 1374 7961.655 89.2281085692.20 9785.70 98 Con estos datos calculamos la tendencia para la desviacion estandar:63.50 9913.20 100
0.00 1010.00 1022.10 1030.00 104
18.20 1055.80 106
113.60 107106.80 108263.90 109112.50 110174.80 111
3.60 1125.60 1131.10 1141.40 1159.80 116 R^2= 0.081.60 117 R= 0.282843
60.50 118 N=1025.00 119 Tc= 0.83405766 < Tt= 1.86
194.80 120 La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
100
f(x) = 1.36004495540583 x + 46.7849188429553R² = 0.0800439502190409
Chart Title
Sp Vs tLinear (Sp Vs t)
P t p t p162.8 81.0 3.0 101.0 0.079.4 82.0 30.6 102.0 0.0
119.2 83.0 67.2 103.0 2.132.8 84.0 79.2 104.0 0.00.0 85.0 138.7 105.0 18.2
30.0 86.0 154.7 106.0 5.80.0 87.0 58.6 107.0 113.6
12.7 88.0 8.1 108.0 106.84.0 89.0 5.8 109.0 263.9
38.7 90.0 3.6 110.0 112.567.2 91.0 0.2 111.0 174.8
111.4 92.0 3.2 112.0 3.689.4 93.0 8.0 113.0 5.663.9 94.0 43.9 114.0 1.1
129.4 95.0 57.9 115.0 1.439.8 96.0 128.1 116.0 9.87.4 97.0 92.2 117.0 1.60.0 98.0 85.7 118.0 60.51.3 99.0 63.5 119.0 25.00.0 100.0 13.2 120.0 194.8
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
100
f(x) = 1.36004495540583 x + 46.7849188429553R² = 0.0800439502190409
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
300.00
f(x) = − 0.0401391592051639 x + 53.1192364557983R² = 0.000636207287503798
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
90
100
f(x) = 1.36004495540583 x + 46.7849188429553R² = 0.0800439502190409
Chart Title
Sp Vs tLinear (Sp Vs t)
159.40 194.70 2
102.20 37.20 48.40 50.00 6
16.90 711.60 8
8.60 973.30 1061.80 1165.50 12
126.00 13118.10 14
78.30 1550.10 16
5.80 174.90 18 t p t p t p t
62.80 19 1.0 159.4 21.0 2.5 41.0 1.5 61.01.80 20 2.0 94.7 22.0 63.6 42.0 30.6 62.02.50 21 3.0 102.2 23.0 53.0 43.0 21.5 63.0
63.60 22 4.0 7.2 24.0 135.5 44.0 10.3 64.053.00 23 5.0 8.4 25.0 96.9 45.0 5.9 65.0
135.50 24 6.0 0.0 26.0 73.4 46.0 35.8 66.096.90 25 7.0 16.9 27.0 109.5 47.0 38.9 67.073.40 26 8.0 11.6 28.0 28.6 48.0 77.9 68.0
109.50 27 9.0 8.6 29.0 4.3 49.0 48.4 69.028.60 28 10.0 73.3 30.0 8.4 50.0 97.0 70.0
4.30 29 11.0 61.8 31.0 1.2 51.0 62.2 71.08.40 30 12.0 65.5 32.0 18.0 52.0 21.3 72.01.20 31 13.0 126.0 33.0 1.0 53.0 10.0 73.0
18.00 32 14.0 118.1 34.0 16.8 54.0 0.0 74.01.00 33 15.0 78.3 35.0 47.2 55.0 1.6 75.0
16.80 34 16.0 50.1 36.0 94.6 56.0 1.9 76.047.20 35 17.0 5.8 37.0 123.5 57.0 11.7 77.094.60 36 18.0 4.9 38.0 87.6 58.0 10.9 78.0
123.50 37 19.0 62.8 39.0 75.3 59.0 50.5 79.087.60 38 20.0 1.8 40.0 15.2 60.0 82.6 80.075.30 39
15.2040 Tendencia de la Media Tm
1.50 4130.60 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:21.50 4310.30 44
5.90 45
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
35.80 4638.90 4777.90 4848.40 4997.00 5062.20 5121.30 5210.00 53
0.00 541.60 551.90 56 R^2= 0.0021
11.70 57 R= 0.0458257610.90 58 N=12050.50 59 Tc= 0.4983186 < Tt= 1.6682.60 60
111.80 6192.80 6268.90 6333.50 64
0.00 651.90 660.00 674.00 689.60 69
50.10 7058.30 7188.20 7251.40 7384.50 7478.20 7546.80 76
4.60 77
0.0078 Tendencia de la Media Tm
1.90 790.10 80
0.0081 Tendencia de la Desviacion Estandar
54.00 8263.70 8374.80 84 Calculamos la dispersión para cada serie annual:93.30 8579.30 86 t Promedio var Sp79.20 87 1 609.60 2541.137 50.40968909
6.70 88 2 702.40 2415.987 49.152693737.10 89 3 499.90 1694.1 41.159441082.80 90 4 524.00 1486.437 38.55433994
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0.60 91 5 398.10 1145.635 33.847234643.10 92 6 519.10 1665.912 40.815585573.90 93 7 460.00 1186.168 34.44079218
35.50 94 8 522.10 2041.66 45.1847311992.20 95 9 578.90 3496.22 59.12884251
118.40 96 10 1374 3869.942 62.20885935167.00 97110.70 98 Con estos datos calculamos la tendencia para la desviacion estandar:
67.10 9910.90 100
6.30 1010.10 1022.70 1031.60 1048.90 1054.60 106
128.40 10770.60 108
194.00 109127.40 110104.10 111
12.70 1122.70 1130.00 1142.50 1157.70 116 R^2= 0.12985.50 117 R= 0.360278
42.00 118 N=1023.90 119 Tc= 1.09237764 < Tt= 1.86
110.70 120 La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
f(x) = 1.1562407996797 x + 39.1308965287857R² = 0.129818884022837
Chart Title
Sp Vs tLinear (Sp Vs t)
P t p t p111.8 81.0 0.0 101.0 6.392.8 82.0 54.0 102.0 0.168.9 83.0 63.7 103.0 2.733.5 84.0 74.8 104.0 1.60.0 85.0 93.3 105.0 8.91.9 86.0 79.3 106.0 4.60.0 87.0 79.2 107.0 128.44.0 88.0 6.7 108.0 70.69.6 89.0 7.1 109.0 194.0
50.1 90.0 2.8 110.0 127.458.3 91.0 0.6 111.0 104.188.2 92.0 3.1 112.0 12.751.4 93.0 3.9 113.0 2.784.5 94.0 35.5 114.0 0.078.2 95.0 92.2 115.0 2.546.8 96.0 118.4 116.0 7.74.6 97.0 167.0 117.0 5.50.0 98.0 110.7 118.0 42.01.9 99.0 67.1 119.0 23.90.1 100.0 10.9 120.0 110.7
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Tendencia de la Media Tm
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
f(x) = 1.1562407996797 x + 39.1308965287857R² = 0.129818884022837
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.00
50.00
100.00
150.00
200.00
250.00
f(x) = − 0.0594141502585048 x + 48.9886982579594R² = 0.00206274984002952
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 2 4 6 8 10 120
10
20
30
40
50
60
70
f(x) = 1.1562407996797 x + 39.1308965287857R² = 0.129818884022837
Chart Title
Sp Vs tLinear (Sp Vs t)
296.0 1283.0 2
171.0 336.0 412.0 5
23.0 614.0 76.0 8
10.0 972.0 1087.0 11
70.0 12159.0 13264.0 14209.0 1580.0 16
17.0 17
3.0 18 t p t p t p t13.0 19 1.0 296.0 21.0 39.0 41.0 17.0 61.01.0 20 2.0 283.0 22.0 112.0 42.0 1.0 62.0
39.0 21 3.0 171.0 23.0 68.0 43.0 14.0 63.0112.0 22 4.0 36.0 24.0 148.0 44.0 14.0 64.068.0 23 5.0 12.0 25.0 210.0 45.0 56.0 65.0
148.0 24 6.0 23.0 26.0 117.0 46.0 56.0 66.0210.0 25 7.0 14.0 27.0 138.0 47.0 54.0 67.0117.0 26 8.0 6.0 28.0 67.0 48.0 248.0 68.0138.0 27 9.0 10.0 29.0 13.0 49.0 137.0 69.067.0 28 10.0 72.0 30.0 1.0 50.0 183.0 70.013.0 29 11.0 87.0 31.0 0.0 51.0 151.0 71.01.0 30 12.0 70.0 32.0 22.0 52.0 0.0 72.00.0 31 13.0 159.0 33.0 25.0 53.0 0.0 73.0
22.0 32 14.0 264.0 34.0 33.0 54.0 0.0 74.025.0 33 15.0 209.0 35.0 50.0 55.0 1.0 75.033.0 34 16.0 80.0 36.0 194.0 56.0 6.0 76.050.0 35 17.0 17.0 37.0 211.0 57.0 4.0 77.0
194.0 36 18.0 3.0 38.0 240.0 58.0 99.0 78.0211.0 37 19.0 13.0 39.0 67.0 59.0 61.0 79.0240.0 38 20.0 1.0 40.0 41.0 60.0 148.0 80.067.0 39
41.0 40 Tendencia de la Media Tm17.0 411.0 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:
14.0 4314.0 4456.0 45
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
56.0 4654.0 47
248.0 48137.0 49183.0 50151.0 51
0.0 520.0 530.0 541.0 556.0 56 R^2= 0.01124.0 57 R= 0.10583005
99.0 58 N=12061.0 59 Tc= 1.156101 < Tt= 1.66
148.0 60194.0 61161.0 62152.0 6391.0 640.0 658.0 660.0 67
0.0 680.0 69
52.0 70106.0 71127.0 72138.0 73157.0 74207.0 7527.0 760.0 77
0.0 78 Tendencia de la Media Tm5.0 790.0 80
0.0 81 Tendencia de la Desviacion Estandar35.0 82
117.0 83161.0 84 Calculamos la dispersión para cada serie annual:192.0 85131.0 86 t Promedio var Sp72.0 87 1 1,080.00 10881.82 104.315953628.0 88 2 1,113.00 7535.295 86.806079594.0 89 3 870.00 5522.818 74.315665791.0 90 4 1,019.00 8466.811 92.01527377
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0.0 91 5 790.00 5320.879 72.944354052.0 92 6 891.00 5356.205 73.1860953
22.0 93 7 847.00 6213.356 78.8248441861.0 94 8 807.00 5578.023 74.6861615583.0 95 9 966.00 6749.182 82.15340418
211.0 96 10 1374 6416.333 80.10201829164.0 97162.0 98 Con estos datos calculamos la tendencia para la desviacion estandar:79.0 9931.0 1004.0 1010.0 1021.0 1038.0 104
16.0 10599.0 106
220.0 107182.0 108218.0 109150.0 110103.0 11124.0 11233.0 1130.0 1140.0 1150.0 116 R^2= 0.2771.0 117 R= 0.526308
37.0 118 N=1052.0 119 Tc= 1.75071612 < Tt= 1.86
175.0 120 La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
20
40
60
80
100
120
f(x) = − 1.74528008911131 x + 91.5340255232162R² = 0.276969764253524
Chart Title
Sp Vs tLinear (Sp Vs t)
P t p t p194.0 81.0 0.0 101.0 4.0161.0 82.0 35.0 102.0 0.0152.0 83.0 117.0 103.0 1.091.0 84.0 161.0 104.0 8.00.0 85.0 192.0 105.0 16.08.0 86.0 131.0 106.0 99.00.0 87.0 72.0 107.0 220.00.0 88.0 28.0 108.0 182.00.0 89.0 4.0 109.0 218.0
52.0 90.0 1.0 110.0 150.0106.0 91.0 0.0 111.0 103.0127.0 92.0 2.0 112.0 24.0138.0 93.0 22.0 113.0 33.0157.0 94.0 61.0 114.0 0.0207.0 95.0 83.0 115.0 0.027.0 96.0 211.0 116.0 0.00.0 97.0 164.0 117.0 1.00.0 98.0 162.0 118.0 37.05.0 99.0 79.0 119.0 52.00.0 100.0 31.0 120.0 175.0
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Tendencia de la Media Tm
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
20
40
60
80
100
120
f(x) = − 1.74528008911131 x + 91.5340255232162R² = 0.276969764253524
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 2 4 6 8 10 120
20
40
60
80
100
120
f(x) = − 1.74528008911131 x + 91.5340255232162R² = 0.276969764253524
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
f(x) = − 0.241968192235572 x + 91.1057422969188R² = 0.0111924114117168
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
236.0 1143.9 2
147.6 328.3 415.2 5
40.4 618.6 721.8 8
18.0 991.4 1069.0 11
80.4 1279.4 13
184.0 1494.5 1520.9 16
5.0 17
0.0 18 t p t p t p t25.4 19 1.0 236.0 21.0 15.2 41.0 2.0 61.00.0 20 2.0 143.9 22.0 28.2 42.0 31.7 62.0
15.2 21 3.0 147.6 23.0 48.7 43.0 18.9 63.028.2 22 4.0 28.3 24.0 92.6 44.0 10.8 64.048.7 23 5.0 15.2 25.0 156.0 45.0 9.7 65.092.6 24 6.0 40.4 26.0 153.3 46.0 26.0 66.0
156.0 25 7.0 18.6 27.0 178.4 47.0 60.0 67.0153.3 26 8.0 21.8 28.0 70.4 48.0 59.9 68.0178.4 27 9.0 18.0 29.0 2.0 49.0 68.6 69.070.4 28 10.0 91.4 30.0 6.0 50.0 130.0 70.02.0 29 11.0 69.0 31.0 0.0 51.0 88.3 71.06.0 30 12.0 80.4 32.0 16.8 52.0 29.5 72.00.0 31 13.0 79.4 33.0 9.7 53.0 3.7 73.0
16.8 32 14.0 184.0 34.0 7.0 54.0 0.0 74.09.7 33 15.0 94.5 35.0 18.5 55.0 5.0 75.07.0 34 16.0 20.9 36.0 150.6 56.0 11.4 76.0
18.5 35 17.0 5.0 37.0 119.0 57.0 24.0 77.0150.6 36 18.0 0.0 38.0 101.7 58.0 43.5 78.0119.0 37 19.0 25.4 39.0 69.3 59.0 86.8 79.0101.7 38 20.0 0.0 40.0 18.7 60.0 182.9 80.069.3 39
18.7 40 Tendencia de la Media Tm2.0 41
31.7 42 Ordenando en las presipitaciones medidas mensualmente en funcion de tiempo:18.9 4310.8 449.7 45
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
26.0 4660.0 4759.9 4868.6 49
130.0 5088.3 5129.5 523.7 530.0 545.0 55
11.4 56 R^2= 0.019924.0 57 R= 0.1410673643.5 58 N=12086.8 59 Tc= 1.5478624 < Tt= 1.66
182.9 60182.9 6184.6 62
103.2 6351.4 640.0 658.0 664.0 67
8.0 686.0 69
72.3 7078.8 7166.8 72
131.7 73135.8 74163.2 7535.7 763.8 77
0.0 78 Tendencia de la Media Tm9.0 791.4 80
0.0 81 Tendencia de la Desviacion Estandar37.0 8272.3 8351.3 84 Calculamos la dispersión para cada serie annual:
131.7 85135.8 86 t Promedio var Sp163.2 87 1 910.60 4770.726 69.0704413135.7 88 2 593.90 2979.744 54.587029343.8 89 3 768.70 5351.443 73.153556250.0 90 4 527.70 1444.663 38.00872461
La tendencia en la media NO es significativa para α=5%
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
9.0 91 5 673.70 3279.454 57.266513461.4 92 6 666.00 3001.611 54.786960630.0 93 7 641.20 3523.561 59.35958934
37.0 94 8 641.20 3523.561 59.3595893472.3 95 9 466.70 1710.472 41.3578519151.3 96 10 1374 3671.287 60.59114417
117.0 9783.2 98 Con estos datos calculamos la tendencia para la desviacion estandar:62.6 9934.1 1005.0 1010.0 1023.3 1032.0 1046.0 1054.0 106
76.5 10773.0 108
199.0 10978.4 11079.2 1110.0 112
12.7 1130.0 1141.6 1157.0 116 R^2= 0.098.0 117 R= 0.3
51.2 118 N=1022.8 119 Tc= 0.88949918 < Tt= 1.86
131.2 120 La tendencia en la desviacion estandar NO es significativa para α=5%
P t p t p182.9 81.0 0.0 101.0 5.084.6 82.0 37.0 102.0 0.0
103.2 83.0 72.3 103.0 3.351.4 84.0 51.3 104.0 2.00.0 85.0 131.7 105.0 6.08.0 86.0 135.8 106.0 4.04.0 87.0 163.2 107.0 76.58.0 88.0 35.7 108.0 73.06.0 89.0 3.8 109.0 199.0
72.3 90.0 0.0 110.0 78.478.8 91.0 9.0 111.0 79.266.8 92.0 1.4 112.0 0.0
131.7 93.0 0.0 113.0 12.7135.8 94.0 37.0 114.0 0.0163.2 95.0 72.3 115.0 1.635.7 96.0 51.3 116.0 7.03.8 97.0 117.0 117.0 8.00.0 98.0 83.2 118.0 51.29.0 99.0 62.6 119.0 22.81.4 100.0 34.1 120.0 131.2
Tendencia de la Media TmOrdenando en las presipitaciones medidas mensualmente en funcion de tiempo:
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Tendencia de la Media Tm
Tendencia de la Desviacion Estandar
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
Con estos datos calculamos la tendencia para la desviacion estandar:
La tendencia en la desviacion estandar NO es significativa para α=5%
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.06857399700758 x + 62.6312970193171R² = 0.0900429913244516
Chart Title
Sp Vs tLinear (Sp Vs t)
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 20 40 60 80 100 120 1400.0
50.0
100.0
150.0
200.0
250.0
f(x) = − 0.22945818063199 x + 67.8888679493647R² = 0.0199253257816677
Chart Title
Recta de Regrecion Lineal t vs P Linear (Recta de Regrecion Lineal t vs P )
0 2 4 6 8 10 120
10
20
30
40
50
60
70
80
f(x) = − 1.06857399700758 x + 62.6312970193171R² = 0.0900429913244516
Chart Title
Sp Vs tLinear (Sp Vs t)
top related