Chapters I-5: Sample, population, statistics, parameter, sample size 1 Symbols for proportions (statistic vs. parameter) and means (statistic vs. parameter) - Tests for one proportion and one mean o What impacts the strength of evidence? When can we use the theory-based approach? - Basics of Simulation 0 Remember we are simulating given the null hypothesis is true O How to calculate p-value from simulated null distribution Remember we can never prove the null true - Standard errors and standardized statistics (what is the difference?) - Confidence intervals one proportion and one mean o What affects confidence intervals? - Relationship between confidence level and significance level - When to reject/fail to reject a p-value given different confidence levels - Type I and Type II Errors