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PROBABILITY AND COMBINATORIAL METHODS
DISTRIBUTIONS FOR CONTINUOUS VARIATES
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95 per cent approximately assumed binomial binomial distribution bivariate cards cell cent confidence interval chi-square distribution coefficients column compute conditional distribution corresponding covariances criterion critical region cumulative distribution curve defined degrees of freedom denoted density function determine deviations drawn equal equation example expected value experiment F distribution factors gamma distribution given hence illustrate independently distributed inference integral inverse joint density large samples likelihood linear machine marginal density matrix maximum-likelihood estimator mean and variance mean square median method multivariate normal distribution normal distribution normal population null hypothesis number of points observable parameters obtained partition permutations plotted preceding section probability problem quadratic form random sample random variables ratio regression function result sample mean simple spades statistics sum of squares suppose test the null theorem theory tion tossed total number Type I error variate