I like to make copies of old exams available to students. This is done for two reasons. The first is that some students find these to be valuable resources. The second is that some students have access to backfiles. If some students can access backfiles, then simple fairness means that all students should have access to backfiles.
I am NOT saying "you should use these in your studying" or "this year's exam will be just like previous exams." I am constantly revising my courses. What I AM saying is that some students have found these to be useful resources in the past. If nothing else, they should give you an idea of the level of knowledge expected.
STAT 201 - INTRO TO BUSINESS STATISTICS
In past semesters I have started the class with a "Basic Skills Test" that everyone needed to pass in order to pass the class. (Students could take the test multiple times, if needed.) I have found that this practice was not particularly effective, even though it was very time-consuming. Hence this semester we have a more traditional grading approach to exams (er, "knowledge festivals"). However, the practice problems from the old "Basic Skills Test" should be reasonable preparation for the first test ("k.f.") this semester, as essentially the same topics are covered.
Many students regard the probability unit as the most challenging one in the course. Accordingly, I have prepared some study/review questions on probability. NOTE that during the Fall Semester of 2016 we lost class time because of Hurricane Matthew. This means that the probability unit this semester has been shortened. You may skip Questions #2, #5, #6, and parts b, c, and d of #9 on this review — we were not able to cover the relevant material this term.
STAT 301 - BUSINESS STATISTICS
I can locate only a limited number of old tests for STAT 301 (Business Statistics). However, STAT 301 covers selected material from two previous courses: DS 280 (Introduction to Statistics) and DS 350 (Quantitative Methods) courses. Hence I am posting old exams from those two classes as well.