Statistics 151

General Information

  1. Lab Assignments: There are four lab assignments in Stat 151. The goal of the assignments is to reinforce the concepts discussed in lectures through interesting real-world problems and make students familiar with a statistical software package. Each lab assignment is accompanied by the corresponding data file and lab instructions for the assignment.
  2. Schedule: The due dates of the four lab assignments are given in the table below:

    Lab Assistance
    Due Date
    Intro Lab
    Self study
    Introduction to StatCrunch. No work to be submitted. See also the videos.
    Sept. 27- 29
    Monday, Oct. 2, by 10 PM
    Oct. 18- 20
    Monday, Oct. 23, by 10 PM
    Nov. 8- 10
    Monday, Nov. 20, by 10 PM
    Nov. 29-30, Dec. 1
    Monday, Dec. 4, by 10 PM
  3. 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 four 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.
  4. Software: The statistical software package StatCrunch will be used in lab assignments. Statcrunch is a web-based statistical application containing all statistical features covered in introductory statistics courses. The software is available to Stat 151 students in two versions: Classic StatCrunch that can be accessed from Stat 151 Labs website (just click on the link "StatCrunch" and enter the password provided by the instructor) and New StatCrunch that can be accessed from MyStatLab website. As Classic StatCrunch uses Java, its performance may be seriusly affected by Java local security settings and should be used only by those students who have no access to MyStatLab.
  5. The New StatCrunch works on all platforms including your desktop, laptop, tablet and phone. Those students who do not use MyStatLab for their homework are encouraged to use Classic StatCrunch on their home computers or in one the following campus labs: CAB 331, 335, 341 or 345.

  6. Group Work: Each student will be randomly paired with another student in the class for each of the four labs. The composition of groups will vary from one lab to another. For each of the four labs, students will be able to determine who the other member in their lab group is via EClass Forum. One Forum will be created for each lab assignment.

    The students in each group will be expected to create a lab report that will provide answers to the questions specified in the lab assignment. Only a single submission should be received from each group. Individuals within a group will receive the same grade on each assignment. See Group Work Guidelines.

  7. Lab Assistance : There are drop-in lab assistance sessions to help Stat 151 students to complete their lab assignments. Lab assistants will be there to get attending students familiar with StatCrunch and answer any questions related to the labs. No advance sign-up is needed; participants can drop in for part or all of the session. Computers are available on a first-come basis. The schedule of drop-in lab assistance sessions is posted here.

    In the drop-in sessions teaching assistants will be answering any questions the attending students may have about the current assignment. Assistance will be provided on a first-come, first-served basis.

  8. Introductory Lab: In the week of September 18-22, you are expected to get familiar with the basic features of StatCrunch that are essential for labs 1-4. Click on the link below to access those instructions: The Introductory Lab: Doing Statistics with StatCrunch. The instructions are very detailed and self-explanatory. You are not required to submit any work for the introductory lab
  9. 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.
  10. Backup: This is your responsibility to keep a backup of your work both on the AICT campus file system (AFS) and on a reliable personal portable data storage device ( ZIP disk or USB Flash Drive) . If you keep your data on your portable storage device only and the device gets damaged or corrupted, you will not be excused!
  11. Protecting your files: 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
  12. 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.

  13. Lab Submission Procedure: Only a single submission should be received from each group. The assignments should be submitted to the wooden boxes outside CAB 373/377 by the due date. There are 8 slots allotted for Stat 151, each of them labelled with the name of the course instructor. Each group is expected to elect the leader who will be responsible for submitting the group lab assignment by the due date and in the corrrect slot. If the assignment is put into a wrong slot and it will be retrieved after the due date, all group members will get zero on the assignment.

    Groups should submit assignments with a cover sheet that contains the names of all group members (with the surnames written in all capital letters), course section and lab assignment number.The group members' ID numbers should not appear on the cover sheet (FOIPP act). The assignments must be typewritten. Before you submit, make sure that all pages are properly stapled.

  14. Returning Marked Lab Assignments: 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.
  15. Re-evaluation Policy: A group 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.
  16. Lost Assignments: If a group has not received their lab assignment back in class after grading and their scores are not posted on eClass, they should notify their course instructor within 10 days of the assignments' return date. Moreover, notify your instructor immediately if your lab score posted on eClass is incorrect.
  17. Grading Fairness: In order to ensure the fairness of the grading process across all sections marked by different graders, the overall percentage for the lab component for some sections may be slightly adjusted if significant differences in the total lab scores among the sections are found.
  18. 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