A Note on Testing of Hypothesis

TL;DR

This paper discusses hypothesis testing for normally distributed samples and extends the analysis to Bayesian frameworks, providing insights into statistical decision-making methods.

Contribution

It introduces an extension of hypothesis testing to Bayesian setups for normally distributed data, enhancing traditional methods.

Findings

Comparison of classical and Bayesian testing approaches

Insights into decision thresholds for normal data

Potential improvements in testing accuracy

Abstract

In this paper, a problem of testing is discussed when the samples have been drawn from the normal distribution. The study of hypothesis testing is also extended to Baye's set up.