aporte trabajo colaborativo estadistica descriptiva
DESCRIPTION
descriptivaTRANSCRIPT
YADIRA FERNANDEZ ROMERO.
Codigo: 46.387.540
1. Determinar la relacin entre dos variables cuantitativas del problema de estudio:En el anlisis de los estudios surge muy frecuentemente la necesidad de determinar la relacin entre dos variables cuantitativas en determinado grupo. Los objetivos de dicho anlisis suelen ser:
a. Determinar si las dos variables estn correlacionadas, es decir si los valores de una variable tienden a ser ms altos o ms bajos para valores ms altos o ms bajos de la otra variable.
b. Poder predecir el valor de una variable dado un valor determinado de la otra variable.
c. Valorar el nivel de concordancia entre los valores de las dos variables.
Para el desarrollo de este punto trabajare con las variables cuantitativas de Peso y Estatura. PESO XESTATURA YX * YX^2Y^2
12,50,658,125156,250,4225
601,74104,436003,0276
72,51,58114,555256,252,4964
581,5992,2233642,5281
16,5116,5272,251
57,61,6595,043317,762,7225
78,61,7133,626177,962,89
5,20,733,79627,040,5329
53,81,6287,1562894,442,6244
45,81,5370,0742097,642,3409
60,21,6599,333624,042,7225
19,71,1823,246388,091,3924
62,71,69105,9633931,292,8561
78,61,58124,1886177,962,4964
52,71,5380,6312777,292,3409
8,90,857,56579,210,7225
701,64114,849002,6896
80,91,75141,5756544,813,0625
78,91,6126,246225,212,56
15,91,0316,377252,811,0609
561,5586,831362,4025
52,91,5883,5822798,412,4964
78,51,78139,736162,253,1684
85,81,66142,4287361,642,7556
65,21,7110,844251,042,89
601,79107,436003,2041
67,21,72115,5844515,842,9584
851,68142,872252,8224
24,51,0325,235600,251,0609
65,41,63106,6024277,162,6569
60,61,73104,8383672,362,9929
851,68142,872252,8224
57,31,5890,5343283,292,4964
67,91,65112,0354610,412,7225
2,60,451,176,760,2025
75,31,78134,0345670,093,1684
45,21,567,82043,042,25
50,21,6482,3282520,042,6896
231,1626,685291,3456
451,5268,420252,3104
65,71,58103,8064316,492,4964
16,70,9816,366278,890,9604
60,51,6599,8253660,252,7225
57,81,5991,9023340,842,5281
60,31,6197,0833636,092,5921
78,51,79140,5156162,253,2041
15,30,9614,688234,090,9216
65,21,67108,8844251,042,7889
65,61,7111,524303,362,89
78,41,68131,7126146,562,8224
57,91,6293,7983352,412,6244
3,40,531,80211,560,2809
58,31,5992,6973398,892,5281
56,81,5688,6083226,242,4336
601,659936002,7225
721,68120,9651842,8224
58,61,5691,4163433,962,4336
14,20,9613,632201,640,9216
65,71,67109,7194316,492,7889
60,81,6197,8883696,642,5921
3,10,571,7679,610,3249
851,815372253,24
60,81,5694,8483696,642,4336
55,91,6290,5583124,812,6244
701,67116,949002,7889
73,81,8132,845446,443,24
78,51,75137,3756162,253,0625
67,21,65110,884515,842,7225
67,21,72115,5844515,842,9584
58,81,5993,4923457,442,5281
62,31,63101,5493881,292,6569
70,21,65115,834928,042,7225
54,91,5283,4483014,012,3104
78,11,72134,3326099,612,9584
62,91,63102,5273956,412,6569
651,86120,942253,4596
62,91,63102,5273956,412,6569
72,91,75127,5755314,413,0625
61,61,5796,7123794,562,4649
9,70,767,37294,090,5776
64,31,78114,4544134,493,1684
58,91,6295,4183469,212,6244
18,31,0619,398334,891,1236
56,91,6895,5923237,612,8224
3,10,571,7679,610,3249
45,81,5169,1582097,642,2801
68,91,76121,2644747,213,0976
11,90,8610,234141,610,7396
65,91,62106,7584342,812,6244
781,71133,3860842,9241
16,91,118,59285,611,21
85,81,86159,5887361,643,4596
67,21,71114,9124515,842,9241
63,21,59100,4883994,242,5281
9,40,827,70888,360,6724
72,91,76128,3045314,413,0976
3,90,471,83315,210,2209
63,81,62103,3564070,442,6244
30,51,442,7930,251,96
52,61,5179,4262766,762,2801
85,91,81155,4797378,813,2761
67,91,66112,7144610,412,7556
58,21,693,123387,242,56
551,6389,6530252,6569
60,51,5895,593660,252,4964
87,51,67146,1257656,252,7889
55,21,7294,9443047,042,9584
701,65115,549002,7225
45,91,5671,6042106,812,4336
541,6388,0229162,6569
60,81,67101,5363696,642,7889
65,81,64107,9124329,642,6896
70,81,61113,9885012,642,5921
78,61,68132,0486177,962,8224
87,21,8156,967603,843,24
79,51,72136,746320,252,9584
72,91,75127,5755314,413,0625
67,51,67112,7254556,252,7889
58,21,5590,213387,242,4025
64,31,72110,5964134,492,9584
671818211000437809288
1. Hallare las medidas Aritmticas.
2. Calculamos la covarianza.
3. Calculamos las desviaciones tpicas.
4. Aplicamos la frmula del coeficiente de correlacin lineal.
Al ser coeficiente de correlacin positivo, la correlacin es directa.
Como coeficiente de correlacin est muy prximo a 1 la correlacin es muy fuerte.