Math 170/171: Study Guide - Chapters 12 - 13


  1. Multiple choice. Know the properties of the chi-square distribution.
  2. Multiple choice. Know assumptions when performing a chi-square goodness of fit hypothesis test.
  3. Multiple choice. Know the assumptions when performing a chi-square test for independence.
  4. Multiple choice. Know the properties of the F distribution.
  5. Multiple choice. Know the assumptions when performing a one-way analysis of variance.
  6. Multiple choice. Know the assumptions when performing a two-way analysis of variance.
  7. Multiple choice. Know the assumptions when testing a single population variance.
  8. Hypothesis test. Test the variance or standard deviation of a single population. Look at problems 12.5 - 12.10.
  9. Hypothesis test. Use the chi-square goodness of fit test. Look at problems 12.23 - 12.35.
  10. Hypothesis test. Test a claim of equality of variances. Look at problems 13.8 - 13.19.
  11. Hypothesis test. Use the chi-square test for independence. Look at problems 12.44 - 12.53.
  12. Two-way ANOVA. Complete the two-way ANOVA table. Complete an F-test to see if there is interaction between the two variables and a difference in the means within one of the variables. Look at problems 13.51 - 13.56*.
  13. One-way ANOVA. Take the data and summarize it. Then complete the one-way ANOVA for the data. Test for a difference in the means of the samples. Apply the Scheffe' or Tukey test if appropriate to test each pair of means. Look at problems 13.29 - 13.40.
  14. One-way ANOVA. The data is summarized for you (mean, variance, and sample size are given). Test for a difference in the means of the samples. Apply the Scheffe' or Tukey test if appropriate to test each pair of means. Look at problems 13.29 - 13.40.







Last updated: Thursday, July 24, 1997 at 12:42 AM
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