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What is Hypothesis Testing and Statistical Power about?

The document covers key concepts in hypothesis testing, including the null and alternative hypotheses, p-values, and effect sizes. It emphasizes the importance of statistical power, sample size, and the relationship between statistical significance and practical significance. Additionally, it provides guidance on conducting various tests, such as t-tests and chi-square tests, while highlighting the necessity of reporting p-values, confidence intervals, and effect sizes together for comprehensive analysis.

Author

akhil

Language

EN