Suppose X1,..., Xn is a random sample from a distribution specified by the cumulative distri- bution function F(x) = 1- (K/x)ª for a > 0 and x > K > 0, where a is known. Consider testing Ho : K = Ko versus H1: K > Ko. Suppose we reject Họ when T: constant c < K. The sample size n such that the probability of type II error is less than or equal to a pre-specified B must satisfy min (X1,..., Xn) > c for some %3D

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.