Ó 2000, S. D. Cochran. All rights reserved.

REVIEW FOR FINAL

A. Coverage of final

1. 1/2 of final is like the midterms--covering that part of the course since the second midterm

2. 1/2 of the final is cumulative, drawing from the whole course

B. Topics we have covered in this last section

1. Regression

2. Residuals

3. Regression fallacy

4. Homoscedasticity and heteroscedasticity

5. Standard error of the estimate

6. Method of least squares

7. Hypothesis testing

8. Null and alternative hypotheses

9. One-tailed, two-tailed hypotheses

10. Z-test for one sample

11. Z-test for two samples

12. t-test for one sample

13. Chi-square test

14. P, the percentile rank

15. Unbiased estimate of the SD (SD+)

16. Degrees of freedom

17. Rejecting and failing to reject the null hypothesis

18. Knowing when to use a z-test, a t-test, a chi-square test

19. The SE for the difference

20. Observed frequencies vs. expected frequencies

21. Alpha, beta, and power

22. Type I and Type II error

23. The effects of sample size on statistical significance

24. Relationships between research hypotheses and statistical hypotheses

25. Violations of the model

B. Calculation skills needed for last section

1. You should be able to calculate a regression line

2. To calculate a percentile ranks in joint distributions

3. To calculate estimated values of one variable using information from another

4. To calculate standard errors of the estimate and use them to make decisions

5. To calculate standard errors of the means

6. To calculate z, t, and chi-square tests and make decisions using the tables in the back of the book

7. To calculate unbiased estimates of the standard deviation

8. To calculate the standard error for the difference

9. To calculate expected frequencies (fe)

10. To calculate degrees of freedom for both t-tests and chi-square tests

11. I will put the formula sheet and the tables from the book on the exam