Statistics (STAT 101) Confidence Intervals and T-Tests Exam Review
University of Florida
Statistics (STAT 101) | Exam Review

Overview
A final review on confidence intervals, one- and two-sample t tests, assumptions, and interpreting results in context.

Key topics
•confidence interval meaning and structure
•one-sample t test setup
•two-sample and paired comparisons
•assumptions and conditions checks

Suggested study tasks
•choose the right test for one scenario
•write hypotheses in words and symbols
•interpret a p-value and CI together

Common pitfalls
•using z when sigma is unknown
•mixing paired with independent samples
•confusing confidence level with probability the parameter is in the interval