STAT 200 Study Guide - Final Guide: Statistical Hypothesis Testing, Analysis Of Variance

• School: UBC
• Department: Statistics
• Course: STAT 200
• Professor: Eugenia Yu

Document Summary

Statistical inferences confidence intervals and hypothesis testing (chapter 16-18, 20-23, 25: determine if the variable of interest is quantitative or categorical. If categorical, we summarize the variable by a proportion or count (chapters 16, 23) If quantitative, we summarize the variable by a mean (chapters 20-22, 25) Inference for a population proportion (chapter 16: use standard normal model. If population standard deviations are known, use standard normal model. If population standard deviations are unknown, use t model: for two or more populations, check if they are independent or dependent. If two populations are independent use 2-sample t-test (chapter 21, assuming population standard deviations are unknown) If two populations are dependent use paired t-test (chapter 22, assuming population standard deviations are unknown) If three or more populations they must be independent in order for us to apply.