Study Tips For Exam

As I think I mentioned in the lab the other day, the Final Exam (8-10 a.m. Wednesday) is cumulative in the sense that you'll need to know about scale levels, populations, sample size, differences between statistics vs. parameters, and those types of things. It's not a chapter-by-chapter cumulative exam, but you do need to know those things.

Also, the Final Exam is a bit more applied knowledge than the previous exams. You'll need to know the textbook basics for the last set of chapters, but you also need to be able to:

• identify the types and levels of scales and what statistics can be reported from each
• know which statistical tests to use for which types of variables
• know which test to use in which instance
  
• read and interpret SPSS output for all of the tests (see list below)
  
• identify the null and alternative hypotheses for each type of test
• create a regression formula from the SPSS output

The tests that you are expected to be familiar with and interpret output include:

• cross-tab
• bivariate correlation
• paired-sample t-test
• independent sample t-test
• bivariate/multivariate regression

Don't forget that the projects are due in my office or the departmental office before 5 p.m. on Monday (I extended the deadline from noon). Finally, the peer reviews for this part of the project will be done using an online form -- there is a link for each group on your home page in Blackboard. This is due by midnight on Monday.

Good luck, and I'll see you all bright and early Wednesday morning in the regular classroom.