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What is Hypothesis Testing in Biostatistics about?

The document outlines key concepts in biostatistics and epidemiology, focusing on hypothesis testing, including types of hypotheses, statistical errors, and the significance of p-values. It details the steps in hypothesis testing, types of data analysis, and measures of association, including parametric and non-parametric methods. Additionally, it discusses correlation, strength of relationships, and tests of difference such as Z-tests and T-tests.

Author

claire

Language

EN