STATS 250 Study Guide - Final Guide: Type I And Type Ii Errors, Sample Size Determination, Confidence Interval

• School: U of M
• Department: Statistics
• Course: STATS 250
• Professor: Brenda Gunderson

Document Summary

Being a stats 250 tutor for close to 4 years, i compiled some final exam review notes. These are definitions and helpful formulas that students often get confused about during final exams. 95% confidence level: with repeated sampling, we can say with 95% confidence that the population mean falls within the resulting confidence intervals 95% of the time, on average. Confidence interval: we estimate the population mean of all populations is between ( ,) with 95% confidence. If study repeated many times and if null is true, we would reject null hypothesis in (type i error/ alpha) of the repetitions. P-value: if study repeated many times and null true, we would see a test statistic as large or larger than what we observed. Make sure you know the assumptions: sample mean, population mean, 2 pop mean, pop proportion, 2 pop proportion. Test statistic = how many standard errors the sample mean is away from the population mean.