This document discusses hypothesis testing procedures. It defines key concepts like the null and alternative hypotheses, Type I and Type II errors, and one-tailed and two-tailed tests. It provides examples of testing hypotheses about a population mean using z-tests and t-tests, and about a population proportion using z-tests. The steps involved are outlined as establishing hypotheses, determining the test, specifying the significance level, stating the decision rule, calculating statistics, and making a conclusion. Examples demonstrate applying these procedures to test hypotheses about a soft drink filling process and a CPA's net income.