Hypothesis Testing
Learning Objectives
- Explain what is meant by the terms null and alternative hypotheses, simple and composite hypotheses, type I and type II errors, test statistic, likelihood ratio, critical region, level of significance, probability-value and power of a test.
- Apply basic tests for the one-sample and two-sample situations involving the normal, binomial and Poisson distributions, and apply basic tests for paired data.
- Apply the permutation approach to non-parametric hypothesis tests.
Theory
R Practice