Learn how two-tailed tests determine statistical significance in hypothesis testing by evaluating if a sample differs from a population mean. Discover real-world applications.

Alpha risk is the risk in a statistical test of rejecting a null hypothesis when it is actually true.

Hypothesis Testing 4--Chi-Square for Goodness of Fit Tests and Independence In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the ...

In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, ...

, , Bayesian Hypothesis Testing: A Reference Approach, International Statistical Review / Revue Internationale de Statistique, Vol. 70, No. 3 (Dec., 2002), pp. 351-372 ...

The Brookbush Institute continues to enhance education with new courses, a modern glossary, an AI Tutor, and a client pr ...

The problem of hypothesis testing about proportions in two finite populations is addressed. The usual test based on the normal approximation (Z test) and a test based on estimated p values (E test) ...