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Sample size estimation, power & hypothesis testing 2024
Assoc Prof Joan Kalyango
PPTX48 pages2.4 MB
The document introduces the fundamentals of hypothesis testing, defining null and alternative hypotheses and distinguishing one‑sided from two‑sided tests. It outlines the steps for conducting hypothesis tests and explains the importance of sample size estimation for both descriptive and analytic studies. Various factors influencing sample size, such as study design, effect size, significance level, and power, are discussed. Practical examples illustrate calculations for estimating means, proportions, and differences between treatment groups. The material also covers considerations for equivalence studies, clustering, and design effects.
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