Math 160 I

Fall 2011

Final Exam Review

Disclaimer: I have attempted to be comprehensive in the following, but important items may have been omitted by mistake. If you see such an omission, please let me know, but you are responsible for all of the lecture material to date.

The final exam for Math 160 I is scheduled for Monday, December 12, from 4:00  - 6:00 PM.  It will be a mandatory, two-hour, in class, comprehensive exam. University regulations require that all students in this section take the final exam at this date and time.

In your review, you should cover

• Readings in the textbook (through 9.1 (Analysis of two-way tables), with exceptions as noted in earlier exam reviews)
• Your lecture notes and lecture notes posted on Moodle.
• Earlier exams and exam review documents
• Homework

Since our last hour exam, we have covered sections 8.1, 8.2, and 9.1

• Be able to compute confidence intervals and tests of significance for single proportions (8.1) and for the comparison of two proportions (8.2).  Please note the slightly different ways of computing the standard error when doing a test of significance in both cases.
• Be able to calculate expected values and the chi-squared statistic for a simple table.  Know the formulas for expected value and the chi-squared statistic, and be able to use table F.
• Instead of suggesting specific problems to look at in your review, I would like to suggest that you look at
  • All of the "Use your knowledge" exercises except for the "plus-4" problems.
  • Select several odd-numbered problems in the problem sets (answers at the back of the book) and work them, checking with me if your answers and the book's answers appear to disagree.
  • As with all parts of your exam reviews, look carefully at the end-of-section summaries.
  • Questions on the history of statistics and on the persons involved will likely appear.
• As with exam #3, there will likely be one or more essay type questions, in which you are asked to explain ideas to an intelligent friend who has not yet taken statistics. Essay questions are graded both on content and on clarity, conciseness, and completeness of explanation.

Any questions? Please ask!