** You absolutely MUST know all the assumptions required to carry out each of these exams - you MUST define all your variables and verbally interpret your results. **

Also, know the "normal-theory" (large-sample) and "exact method" (small sample) version of all the applicable tests and when to use the most appropriate one.

Possible Topics on the First STA 102 Exam

• All things from Exam 1 are still important.
• 7.1-7.7, 7.9, 7.11, 7.12 - Hypothesis Testing: One-Sample Inference
  One-Sample Test for the Mean of a Normal Distribution: One-sided and two-sided alternatives.
  • Relationship between, meaning of, and use of the critical-value method and p-value method
  • Sample Size and Power of one-sided and two-sided tests for mean of a normal dist.
  • Relationship between hypothesis-testing and confidence intervals
  • One-Sample Test for a binomial proportion - and its power and sample size.
• 8.1-8.5- Hypothesis Testing: Two-Sample Inference
  • Different sorts of experimental designs
  • Paired vs. Independent
  • Paired t Test
  • Interval Estimation for the comparison of means from two paired samples; and same of means from two unpaired samples.
  • Two-Sample t-test for Independent Samples w/ Equal Variances
• 9 - Nonparametric Methods
  • Different types of data
  • Sign Test
  • Wilcoxon Signed-Rank Test
  • Wilcoxon Rank-Sum Test
• 10.1-10.6, 10.9 - Hypothesis Testing: Categorical Data
  • Two-Sample Test for Binomial Proportions
  • Yates-Corrected Chi-Squar Test for 2x2 Contingency Table
  • Fisher's Exact Test
  • McNemar's Test
  • Sample Size and Power for Comparing 2 Binomial Proportions
  • RxC Contingency Tables

NB: Anything presented in class is fair game, and this list is simply a study-aid, but may not be 100% inclusive of all things covered in class. Anything mentionned in lecture could be on the exam.