Week 15 (5/12/05 - 5/25/05)

Thank you for being an amazingly diligent class. Sincerely, ...BBG...

REVIEW 

Forest: The goal of this course is to enable you to analyze your own data and move on to more advanced techniques if need be. I also hope that is will improved reasoned judgment. (Show and tell: How to Lie with Statistics; How to Tell the Liars from the Statisticians). You might want to review the objectives on p. 2 of the syllabus(?), but it is really the specifics that  are important. Here's are the topics we covered : 

• Comparisons of variances and comparisons of means (including a review of EDA)
• ANOVA and ANOVA related topics 
• Correlation & Regression
• Risk Ratios & Odds Ratios 
• Data Errors, Study Design and Data Management

Trees: Any hurried review would be not be adequate. Several approaches to review may be considered, including:

• A review of labs (with cross-referencing to posted keys)
• Self-assessment via the Review Questions (question X.1 on each posting)
• Studying Reader notes and or presentation slides
• Review of exercises with keys
  • 11.3 (lab), 11.4, 11.5, 11.6 (You should come out of this course being able to complete an EDA, compare means, and compare variances. I will do 11.4 on the board for you.)
  • There will be no separate ANOVA, correlation, or regression analysis on Part B
  • 16.2, 16.3 (lab), 16.4
  • 17.2, 17.3 (lab), 17.4, 17.8, 17.14
  • Lab 8 & handout
  • 19.2 & 19.3 (lab)

Leaves: formula sheet 2 (also formula sheet 1)

A leaf -- exercise 11.4 since we hadn't done one like this is a long time

The exam itself

• Wed, May 25, 2005 from 245 - 500 in MH322
• Bring calculator, blue book, pencils, Procedure Notebook (should include t Table, F table, and Chi Table), Lab Workbook
• Format (per usual)
• General Advice: Stay the course; bit each day is superior to cramming. Review for comprehension rather than speed.

Statistics is more than a compilation of computational techniques.