Hypothesis Testing: Formal and Informal Sub-Processes

The document outlines a comprehensive approach to hypothesis testing, highlighting both formal and informal sub-processes involved in statistical analysis. It details a six-step formal hypothesis testing framework, emphasizing the importance of defining objectives, stating null and alternative hypotheses, determining confidence and power levels, collecting sample data, calculating the p-value, and interpreting results. Practical applications encourage the identification of key metrics and related factors for analysis in future lessons.