Accession Number : AD0646141

Title :   THE CHI-SQUARE TEST OF GOODNESS OF FIT FOR A BIVARIATE NORMAL DISTRIBUTION.

Descriptive Note : Technical memo.,

Corporate Author : NAVAL WEAPONS LAB DAHLGREN VA

Personal Author(s) : Bates,Carl B.

Report Date : DEC 1966

Pagination or Media Count : 31

Abstract : A brief summary of the bivariate normal distribution is given: estimating the five parameters, determining the two regression lines, transforming the original random variables to achieve independence, testing the null hypothesis that the correlation coefficient is zero, and describing the contour ellipses. The Pearson Chi-Square Goodness of Fit Criterion is described for testing the null hypothesis that the parent population of a random sample of paired random variables is bivariate normal. (Author)

Descriptors :   (*STATISTICAL TESTS, *STATISTICAL DISTRIBUTIONS), PROBABILITY DENSITY FUNCTIONS, RANDOM VARIABLES, WEAPON SYSTEMS, ANALYSIS OF VARIANCE

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE