Statistics 337

General Information

  1. Starting Date: Labs in Statistics 337 will start on Tuesday, September 11, 2018. The labs will be held on PC computers in Windows 7 environment. You will be using SPSS 24 . No previous experience with SPSS is required.
  2. Software: The statistical software package SPSS version 24 will be used in the lab assignments. SPSS is among the most widely used programs for statistical analysis. It is used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations and others.
  3. Introductory Lab: In the first lab period, on Tuesday, September 6, the lab TA will demonstrate you the basic tools in SPSS that are essential for labs 1-5. In order to access online instructions described those tool, click on the following link : The Introductory Lab: Doing Statistics with SPSS 20. The instructions are very detailed and self-explanatory. You are not required to submit any work for the introductory lab.
  4. Schedule: There will be a total of five lab assignments in the course. The due dates of the five lab assignments are provided in the following table:
  5. Lab
    Due Date
    Sept. 11
    No work to be submitted
    Sept. 18
    Monday, Oct. 1, by 5 PM
    Oct. 2 Monday, Oct. 15, by 5 PM
    Oct. 16
    Monday, Oct. 29, by 5 PM
    Oct. 30 Monday, Nov. 19, by 5:00 PM
    Nov. 27 Friday, Dec. 7, by 5 PM

    There is no lab on November 13 (Fall Reading Week).

    You will have two lab sessions to work on each assignment. The lab instructor will give an introduction to the topics of the current lab in the first week (Discussion Period) only.

  6. Weight: Lab assignments are worth 13% of the final grade. They are not weighted equally. Harder or more time consuming assignments will constitute a larger percent of the combined percentage grade for the five lab assignments. The combined percentage grade for each student is computed by dividing the total points earned by the student by the total points possible for the five lab assignments.
  7. Preparation: Before you start working on any lab assignment, you should first get familiar with the lecture material and lab instructions corresponding to the lab assignment. It is not necessary to go over the lab instructions in detail to answer lab assignment questions; you may focus on those parts of the instructions that are relevant to the assignment questions.
  8. Backups: Before you start working on the lab assignment problems, you should first get familiar with the lecture material and lab instructions corresponding to the lab assignment. This is your responsibility to keep a backup of your work both on the IST campus file system and on a reliable portable data storage device (ZIP disk or USB Flash Drive) . If you keep your data on a single storage device only and the device gets damaged or corrupted, you will not be excused!
  9. Protecting your work: Before leaving a workstation in any of the campus labs, you must delete all your files saved to the workstation’s hard drive. Those files are saved by default to temp2 directory on D drive. In order to delete your files in CAB labs, click on the Clean User Files icon

    on the desktop. If Clean User Files feature is not installed in your lab, delete your files and empty the Recycle Bin before leaving ( the deleted files will appear in the Recycle Bin and can be restored). It is important that you delete your files to protect your privacy and hard work from being duplicated. If you don’t, another student may submit your lab assignment as their own work and you may be subjected to a plagiarism investigation.

  1. Labs Submission: The assignments should be handed in to the wooden box outside CAB 331/335 by the due date. There are 40 slots in the box, each of them labeled with the name of the lab instructor and the section number. Students should make sure that they put their lab assignment into the correct slot. Students should submit assignments with a cover sheet that contains only their name and course section. The student ID number should not appear on the cover sheet (FOIPP act). The assignments must be typewritten.

  2. Missed Assignments: A student who cannot complete a lab assignment because of an incapacitating illness, severe domestic affliction or other compelling reasons can apply to their course instructor for a transfer of the weight of the missed lab to the final exam. The application should be made within two working days of the missed lab assignment due date.

  3. Returning Labs: Labs will be handed back by the course instructor in class after they are graded. The raw scores for each lab will be posted on eClass. Under the FOIPP act, assignments may not be left in boxes or envelopes outside the instructor's office. Unclaimed assignments will be retained until one month after term grades become official.  After that time, they will be destroyed in compliance with U of A confidential shredding procedures.

  4. Re-evaluation Policy: A student who believes an individual question or lab has been incorrectly marked may request that it be remarked. Such requests should be made by resubmitting this particular lab with a cover page “Remarking Request” explaining in detail your concerns within 10 days of its return date in class. After that, we will not consider remarking or re-evaluating the lab. in your "Remarking Request" you will have to demonstrate that the marker made a mistake in grading or the score for some components assigned by the marker are not consistent with the marking schema posted on the website. If after remarking by the grader, you still think the assignment should be re-considered, then you should contact the instructor directly. Students making a request for a remarking must accept that the resulting mark will become the new mark, whether it goes up or down or remains the same.

  5. The lab exam in Stat 337 is scheduled on Tuesday, November 20 during regular lab session. The details will be provided later. The course instructor will make an announcement in class about the topics covered in the exam. Lab exam is worth 15% of the final grade.

  6. Students are urged to familiarize themselves with the provisions of the Code of Student Behaviour at to avoid any behaviour which could potentially result in suspicions of cheating, plagiarism, misrepresentation of facts and/or participation in an offence. Academic dishonesty is a serious offence and can result in suspension or expulsion from the University.

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