Psy 207B Introduction to Statistics Fall 2002

Erwin Segal

Final Exam Study

Topics
1. Sampling distributions (mean, z, t, F, proportion)
    Compare sampling distributions to samples
2. Hypothesis testing; One and two tailed tests; Null Hypotheses; Alternative hypotheses
    decisions; critical values
    Type 1 and type 2 errors: a and b
3. Power- What is power? What influences power? Evaluating power
4. Point and Interval estimates of parameters
5. Direct difference t tests: identify, compute and interpret, df
6. Independent sample t tests: identify, compute and interpret, df
7. significance and effect size for t-tests, Anova, and correlation, d, eta squared, r²
8. Simple analysis of variance: (within, between, total), compute and interpret,
sums of squares, SS, Mean Squares, MS,
9. post hoc and planned comparisons, Q, Newman-Keuls, Tukey HSD
10. Two-way analysis of variance: compute and interpret
Main effects and interactions

11. Correlation : properties, compute and interpret, concepts--SP, SS_X, SS_Y, df
Tests for the significance of a correlation coefficient
12. Regression: compute regression line from data and also from , , s_x, s_{y ,} and r,
find predicted Y from X; explain regression toward the mean, understand two “best-fit” regression
lines, r², 1-r²
Standard error of estimate; percent of variance accounted for, s_y.x , r², SS_y.x , ,
Variance of regression line, Variance around the regression line

Primarily discussed in my web notes and in Text Chapters 7-17. (I would suggest using web notes as primary source for topic identification)