Exam 2 will include approximately 35-40 multiple choice questions that will ask you to apply your knowledge from laboratory, lessons, and lecture clips.
You are permitted to bring one standard 8.5×11 sheet of paper including anything that you think will help you in the exam (your notes may be written on both sides).
- Descriptive Statistics (e.g. Shapes of frequency distributions and histograms; Measures of Central tendency- mean, median and mode, Spread/variability (standard deviation) of a distribution)
- Graphing (e.g. univariate and bivariate graphs, making graphing decisions based on variable type).
- Cross-tabs (aka contingency tables) – use of row vs. column percent.
- Independent and Dependent variables (aka predictor and outcome variables or explanatory and response variables)
- Sample statistics vs. population parameter
- Stating and interpreting the null and alternate hypothesis
- Type I error
- Reading scatter-plots and correlation coefficients
- Choosing the type of bivariate statistical test to use when examining an association (there are several questions on this).
- Post hoc tests
- Evaluating and interpreting statistical output