The research studied power of hypothesis parameters on Binomial (discrete) and Gamma (continuous) distributions. Here, we derived the rejection area using uniformly most powerful test (UMPT) to find the formula of the Power. The R-code is then used to figure and graphically analysis the graph. The result showed that the curves are depended on the parameter shape, sample size ( small n), and .
The Graphically Analysis of the Power of Hypothesis Parameters on Discrete (Binomial) and Continuous (Gamma) Distributions
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