DUE: by 11:59pm, March 29, 2026.

AVAILABLE: This document is posted on the course shell on February 2, 2026.

MARK (WEIGHT):  Total Mark = 50 (10% of the final grade)

NO LATE SUBMISSION: The SPSS project must be submitted by the due date. Late submissions will not be accepted. The D2L submission link will close at the deadline, and submissions sent by email will not be accepted. There are no makeup opportunities and no extensions for this project. Students are given more than 8 weeks to complete the assignment, which is considered sufficient time. If you submit an Academic Consideration Request (ACR), it must cover the entire period during which the project was available. Please plan your time carefully to ensure your work is submitted on time.

Please note that this is an SPSS-based project, and its primary objective is to develop your ability to use SPSS to generate statistical results for informed decision-making. For this reason, SPSS must be used to create the graphs, tables of descriptive statistics, confidence intervals, and hypothesis tests required in this project.

Using Generative Artificial Intelligence

•    The use of Generative AI (e.g., ChatGPT, Quillbot, Grammarly, Google Translate)

may only be used for idea generation or as a study aid, but not for the creation of a submitted project.

Minimum Report and Submission Requirements

As a minimum, your project submission must include the following. Failure to meet anyrequirement may result in mark deductions or a grade of zero, depending on the nature and severity of the issue.

1.   Title page (Required)

Your report must include a title page containing all of the following:

•    Title of the project

•     Submission date

•    File name of the dataset used

•    Your full name and student number

•     Course code (e.g., QMS210)

•     Submitted to: Instructor’s name

2.   Structure of Answers

•   Each question must begin on a new page

•   Clearly label each question.

3.   Formatting Requirements

•     Number all pages of your report.

•      Use font size 12 and double spacing.

•      There is no word or page limit.

4.   Written Analysis Requirements

A complete write-up for Questions 3 and 4 must include:

•     Clearly stated assumptions

•    Appropriate hypothesis statements (H₀ and Hₐ)

•     Statistical analysis using the p-value approach

•     Clear statistical conclusions

•    Managerial interpretation and discussion of results

5.   Dataset requirement and Dataset Integrity (Strictly Enforced) (very important):

•   You must use only the dataset assigned to you, which is posted in D2L → Communication → Groups.

•   Using any dataset other than your assigned one will result in a grade of zero and may be treated as academic misconduct under TMU Policy 60.

•   Sharing datasets is strictly prohibited. If data is shared or reused, both students involved will receive a grade of zero.

•   The dataset provided is for your individual use only.

•   Any discrepancies in results will strongly indicate the use of a different data set and may result in an academic misconduct charge.

6.   SPSS outputs Presentation

•   Properly copy and paste all relevant SPSS outputs directly into your report.

•   Cut and paste all relevant SPSS outputs directly below your written answer for each question.

•   Do not direct the grader to appendices or separate files to locate outputs.

•   Screenshots, photos, handwritten work, or non-SPSS output formats are not acceptable and will result in a grade of zero.

•   Only SPSS output format is acceptable on the project; other output formats (e.g., ChatGPT, Quillbot, Grammarly, Google Translate, Excel, Minitab, R, etc.)  are not acceptable.

•   Failure to comply with this requirement will result in a grade of 0.

7.   Software requirement (Strictly Enforced)

•   All analyses and graphs must be generated using only SPSS.

•   Any statistical software (eg. Excel, Minitab, R, etc.) and calculators are not permitted for data analysis or graph generation.

8.   Submission method (Required):

•   Upload your project online via D2L:

Assessment → Assignments → SPSS Project

•   You must submit all three files:

1.   Report file (PDF)

Contains your answers to all questions and the relevant SPSS outputs, as well as title page, and references (APA style).

2.   SPSS output file (.spv)

Generated directly from SPSS

3.   Assigned dataset file (.csv)

The dataset specifically assigned to you

Missing any one of the three required files will result in a grade of zero.

•     The report must be submitted as a single PDF file only. Failure to follow this format may result in a grade of zero.

•    Email submissions will not be accepted under any circumstances.

How the Project is graded

•    Your submission will be graded based upon the following factors: substance,

presentation, accuracy, grammar and clarity. A demonstration of effort is the driving force of this project. The project will be compared to discern levels of effort and excellence.

•    Any statistical inconsistencies or discrepancies identified during grading may result in an academic misconduct investigation.

CAR DATA

You will analyze a sample of three hundred (300) resale prices of GM CARS.  Your data set was randomly resampled from a big data set that consists of more records. So, please be aware that each student will have their own data set.  You will only focus on the relevant variables and answer each question.

The data includes:

Mileage – usage of the car (mileage in miles) Price - Price of each car sold

Make – The make of the car – Buick, Cadillac, Chevrolet, Pontiac, SAAB, Saturn Model – The model of the car - Century, Lacrosse, Lesabre, etc

Trim - different versions of the same model with different features:  Sedan 4D, CX Sedan 4D, Custom Sedan 4D, Limited Sedan 4D, Sedan 4D, DHS Sedan 4D, DTS Sedan 4D, etc.

Type – different car types: Sedan, Coupe, Convertible, Hatchback, Wagon Doors – number of doors, 2, 4.

Engine- Engines with 4 cylinders, 6 cylinders or 8 cylinders power.

Liter – Car engine size measures in liters.

Sound – Car audio speaker where 1- upgraded speaker, 0-standard speaker

Cruise – Cruise control is a system with an automatic control of the car speed where 1 – there is cruise control and 0 – no cruise control

Leather – Car seat cover where 1 – there is leather seats and 0 – no leather seats

THERE ARE 4 QUESTIONS in this project.

Question 1

Create a table of the mean, median, standard deviation, and range of the price of the automobiles. Discuss your results.

In your discussion, explain the following:

•    How the mean compares to the median, and what this indicates about the distribution of prices (e.g., skewness or presence of high-priced vehicles). Use 10% rule to identify the distribution type.

•    What the standard deviation reveals about the variability in automobile prices.

•    Whether the results suggest a wide or narrow price range, and any implications for understanding the automobile market.