Exam, Project And Final Grades Posted

I have posted the grades for the final exam, project and final grades. Below are some comments about each.

First, the class average for the final exam was 76% after the adjustments. I accidentally left the correct answer off the last question, so I didn't even grade that one. I then eliminated five more questions because at least 66% of the class missed them, and threw out two more just as a curve. Thus, the grade was calculated by dividing your number correct by 48, rather than 56. A distribution chart is below.


The projects were all very well done, and the grades were all A's or B's. Good work on those.

For the final grades, I adjusted the cutoff by a few points for a couple of grade levels where there were several students clustered around the cutoff point. I will not make any further adjustments. However, if you are missing points anywhere, please let me know. In summary:

• Missing points = Possible grade change
• Points correct, but close to cutoff ≠ Possible grade change
• Points correct, but "deserve" higher grade ≠ Possible grade change
• Points correct, but "need" higher grade ≠ Possible grade change

Or, in marketing research terms, we fail to reject the null hypothesis of no grade change for H2-H4.

I'll end there. Have a great summer, and good luck in the future.

Update 5/14 2:00 p.m.: I thought I had released the final letter grades earlier today, but hadn't. If you check the grades now, your letter grade should display.

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.

Grade Calculator And Regression Handout Posted

Since all of your points are now posted, I have posted a Grade Calculator you can use to see the grades you need on the project and the final exam to earn an A, B and C. You can download it here.

I also posted the SPSS Guide for regression. You can download it here. I'll also have copies on hand in the lab tomorrow during the optional class time.

Also, don't forget that the exam is 8-10 a.m. Wednesday, 5/12, not Monday. The project will be due in my office (or my mailbox in the department office) before noon on Monday.

Urgent announcement: Exam is Wednesday, not Monday

I feel like the absent-minded professor, but I have been giving you the wrong exam time. The exam will be Wednesday, May 12 at 8-10 a.m.

I am posting this here and on Blackboard and have sent everyone an Email in both Blackboard and Eaglemail (or whatever it's called now), but please help me pass the word along.

Your project will be due Monday at noon. Drop it off in my mailbox in the Marketing Department office.

Participation Points & Total Points

I posted all of the participation points for the semester. I originally planned to drop one of the grades, but I decided to go ahead and give you all of the points, so if you didn't miss any classes you effectively got a 10-point bonus (110 points out of 100).

You also have a total points column. If you want to know approximately what you need to make on the final and project, an A is 900 points, a B is 800 points and a C is 700 points. Subtract your total from that, and that's how many points you need to earn on the final (200 points) and project (150 points).

Later in the week, I'll post a grade calculator (Excel format) that will allow you to plug in grade scenarios to see what your final grade would be.

Chapter 19 Handouts

The handouts for Wednesday (4/28) and Monday (5/3) are now posted on Blackboard. We'll cover Regression Analysis, which will be the last topic for the course.

The handouts are available here.

Virtual Lab

I mentioned to some of you in class today that the College of Business now has a virtual lab that you can access from home. You can access SPSS and work on your project from any computer.

I can't vouch for how well it works or if it is an slower than working in the actual lab, but you can try it.

Instructions are here.