Statistics 235

General Information

  1. Statrting Date: Labs in Statistics 235 will start on Wednesday, January 9, 2019. The labs will be held on PC computers in Windows 7 environment. Excel will be used in the labs. No previous experience with Excel is required.
  2. The Introductory Lab: Excel 2007 and Tools for Statistical Analysis will be discussed in the first lab session. You will learn the basic features of Microsoft Excel that are essential for the labs. The students are not required to submit any work in the lab session.
  3. 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:

    Due Date
    Introductory Lab
    Jan. 9- 15
    Introduction to Excel. No work to be submitted.
    Jan. 16- 22
    Tuesday, Jan.29, by 5 PM
    Jan. 30 - Feb. 5 Tuesday, Feb. 12, by 5 PM
    Feb. 13- 26
    Tuesday, March 5 by 5 PM
    March 6- 12 Tuesday, March 19, by 5 PM
    March 20- 26 Tuesday, April 2, by 5 PM
  4. There are no labs in the week of February 18-22 (Family Day & Reading Week)..
  5. Lab Sessions: You will have two lab periods to work on each assignment. The lab instructor will give an introduction to the topics of the current lab in the first lab period for each lab.
  6. Weight: Lab assignments are worth 10% 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. Backups: Before you start working on the lab assignment problems, you should first get familiar with the lecture material and with the lab instructions corresponding to the lab assignment. This is your responsibility to keep a backup of your work both on the AICT campus file system and on a reliable portable data storage device (ZIP disk or USB Flash Drive) . If you keep your data on a floppy only and the floppy gets damaged or corrupted, you will not be excused!
  8. Protecting your work: Before leaving a workstation in any of the campus labs, you must log out 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.
  9. 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.
  10. 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 48 hours of the missed lab assignment due date.
  11. 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.
  12. 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.
  13. Lost Assignments: If you have not received your lab assignment back in class after grading and your score is not posted on eClass, you should notify your course instructor within 10 days of the assignments' return date. Moreover, notify your instructor immediately if your lab score posted on eClass is incorrect.
  14. Grading Fairness: In order to ensure the fairness of the grading process for labs across all groups marked by different graders, the total score for the five labs for each student may be adjusted by the overall average lab total for all students in the course if significant differences among the groups are found. That means that some totals for individual students may be slightly increased and some decreased.
  15. Lab exam is scheduled in the period, April 4- April 10, 2019 during regular lab session.
  16. The lab exam is a one-hour multiple-choice exam held in the lab rooms. Each student will be writing the exam in their lab section. There is no deferred lab exam. The students who missed the lab exam for a valid reason should apply to their course instructors for a transfer of the weight of the missed lab exam to the final exam. The application should be made within two working days of the missed lab exam date.
  17. Plagiarism: 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