Post on 16-Dec-2015
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Sheet1padrehijo6568Column 1Column 26366Column 11Ejercicio del Schaum de estadistica pagina 3316768Column 20.70265164511ejercicio 14.16465El calculo del coeficiente de regresion esta en la pagina 341 6869Column 1Column 2del ejercicio 14-166266Column 17.05555555567068Column 23.36111111113.24305555566665687167676968del padre7170Column1Column1x*y4420Mean66.6666666667Mean67.58333333334158Standard Error0.8008833507Standard Error0.54297627234556Median67Median684160Mode67Mode684692Standard Deviation2.7743413087Standard Deviation1.8809249824092Sample Variance7.696969697Sample Variance3.53787878794760Kurtosis-0.7735941472Kurtosis-0.55502111524290Skewness-0.1986709785Skewness0.23793478084828Range9Range64489Minimum62Minimum654692Maximum71Maximum714970Sum800Sum81154107Count12Count124508.9166666667padrehijo654225684624633969664356cov=0.999597787674489684624Este resultado se obtuvo aplicando la formula del Schaum de estadistica de la pagina 327 formula 1964409665422568462469476162384466435670490068462466435665422568462471504167448967448969476168462471504170490066.66666666675341867.5833333333548494451.54570.75Sx66.7195623487Sy67.6073220887padreX-MEDIAXhijoX-MEDIAYX*Y65-1.66662.77755556680.416670.1736138889-0.69442222263-3.666613.4439555666-1.583332.50693388895.805437778670.33340.11115556680.416670.17361388890.13891777864-2.66667.1107555665-2.583336.67359388896.888707778681.33341.77795556691.416672.00695388891.88898777862-4.666621.7771555666-1.583332.50693388897.388767778703.333411.11155556680.416670.17361388891.38892777866-0.66660.4443555665-2.583336.67359388891.722047778681.33341.77795556713.4166711.67363388894.555787778670.33340.1111555667-0.583330.3402738889-0.194482222692.33345.44475556680.416670.17361388890.972257778714.333418.77835556702.416675.840293888910.47239777884.6666667238.916666666840.3333333367.055555563.24305555563.36111111132.65622957591.8008485654r =0.7026516449Es el mismo resultado que la estadistica descriptiva
otro ejemploEJEMPLO DEL LIBRO DE INGLES JOHNSON PAG 452 453 454 y 455 DATOS DE LA FIG 14-1SON TRES FORMULAS DISTINTASXYCOVARIANZApoblacional0.5NO ES21Column 1Column 20.5NO ES35Column 1140.6SI ES63Column 20.53.6666666667ESTE VALOR SE OBTIENE82AL DIVIDIR ENTRE N Y EL OTRO ENTRE n-1116Column 1Column 2121Column 11MEDIAS m 73Column 20.06978631581
(X-mx)*(Y-my)XY1-5-210Column1Column12-42-83-100Mean7Mean341-1-1Standard Error1.6733200531Standard Error0.856348838654312Median7Median2.565-2-10ModeERROR:#N/AMode13Standard Deviation4.0987803064Standard Deviation2.0976176963COVARIANZA0.6000Sample Variance16.8Sample Variance4.4Kurtosis-1.875Kurtosis-1.5495867769Skewness0Skewness0.5850793161Range10Range5Minimum2Minimum1Maximum12Maximum6Sum42Sum18Count6Count6POR LO TANTO DE ACUERDO A LA FORMULA14 - 2 DE LA PAG 455 DEL MISMO LIBRO EL COEF DECORRELACION ES: 0.0697863158El mismo resultado obtenido aplicando la funcion correlacion de DATA - DATA Analysis y CORRELATIONDE LA TABLA DE ARRIBA lo que no da es la COVARIANZA que es la primera tabla
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