Description: The binomial transform is a transformation that takes a sequence as an input and gives another sequence as an output according to a certain rule. As an example, we have that the binomial ...

[[#Evaluating a result (P-value) for 1- and 2-tailed tests]] [[#One-tailed tests]] [[#One-Tailed Test: Binomial Example]] [[#Two-Tailed Tests]] [[#A P-value in relation to 1- and 2-tailed tests]] ...

You use the ANALYZE statement to estimate the parameters of the probability distribution specified in the DISTRIBUTION statement without producing any graphical output. The ANALYZE statement performs ...

Abstract: In group-testing, a set of x units is taken from a total starting set of N units, and the x units (1 ≤ × ≤ N) are tested simultaneously as a group with one of two possible outcomes: either ...

The beta-binomial distribution is extended to allow negative correlations among binary variates within an experimental unit. Regression models are proposed for both the binary variate response rate ...

This code calculates the 95% confidence interval for a sample mean of 115, with a sample size of 40, and a sample standard deviation of 3.16. The result will provide the range within which we are 95% ...

Using the C(α) procedure of Neyman (1959), we derive tests for the goodness of fit of the binomial distribution which are asymptotically optimal against generalized binomial alternatives proposed by ...