Statistics 252

Lab Exam Information

Time and Location:

The lab exam for Section A1 is scheduled on Tuesday, November 28 at 18:00-20:00 in ECHA L1-350

Roster of students writing on November 28.

The lab exam for Section B1 is scheduled on Monday, November 27 at 18:00-20:00 in ECHA L1-350.

Roster of students writing on November 27.

The ECHA L1-350 labs is located in the Edmonton Clinic Health Academy (114 St. and 87 Ave., see the map). It is your responsibility to find your lab exam location.

If you cannot write in your assigned evening because of a class conflict, you must inform your instructor BEFORE Friday, November 17.

The lab exam for students with disabilities will be held on Saturday, December 2, 2017 at 11:00 in CAB 345. Students must register with SAS for this exam at least two weeks before the scheduled date of the exam.

Format:

Your exam will consist of 30 multiple choice questions. You will have 2 hours to complete the exam. You will be provided with the formula sheet and any relevant tables (if needed). You will be provided with a few data sets and asked to answer a series of questions. It will be up to you to generate the appropriate output in SPSS that is needed to answer the questions. Thus, you will be required to know what procedure to follow to answer the questions, i.e. Regression, ANOVA, etc… Once you have obtained the output will need to apply your knowledge from the lectures to answer the questions.

NOTE: The lab exam is NOT simply an exercise in generating output.

Use of the Internet:

At the beginning of the exam you will be required to “authenticate” and download the data sets off the website. After downloading the data sets to your desktop you will be required to shut down your “authentication”. At that point you must remain “off-line” for the remainder of the exam. Failure to do so will result in your exam being confiscated and you will receive a mark of zero.

Topics:

You are responsible for all material covered in Labs 1-4.

 
Statistical Laboratories Department of Mathematical and Statistical Sciences, University of Alberta