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Hypothesis Testing with R Simulations by hasiba is a document available to read on EtoBox.

What is Hypothesis Testing with R Simulations about?

The document outlines a simulation-based approach to hypothesis testing using R, emphasizing the importance of quantifying uncertainty in data-driven discoveries. It details the steps to test a hypothesis, including specifying null and alternative hypotheses, constructing a null distribution, calculating p-values, and making decisions based on those values. An example involving a Randomized Controlled Trial is provided to illustrate the process of determining if a new treatment is more effective than an old

Author
hasiba
Language
EN