DALHOUSIE UNIVERSITY 
COMM 1503: Introduction to Quantitative Decision Making 
Final Examination Guide and Notes 2026 
 
Part A: Topic Summary and Exam Tips 
Part B: Exam Practice Questions and Answers 
Part C: Sample Final Examination Paper 
Part D: Suggested Solutions to Final Exam Paper 
 
The 24/7 Online Support You Deserve 
Need to reach out to us with questions or for help? You'll connect with a private tutor who is extremely passionate about the course, ready to provide assistance and ensure that you're on the right track to graduating. 
 
Looking for additional study resources?
Explore the most up-to-date revision notes and exam guides available for students at Dalhousie University

Introduction to Quantitative Decision Making (COMM 1503)

$35.00

ACADEMIC YEAR 2025 - 2026

University	Dalhousie University
Course Code	COMM 1503
Course Name	Introduction to Quantitative Decision Making
Notes Title	Final Examination Guide and Notes
Page Length	61

This concise guide for COMM 1503: Introduction to Quantitative Decision Making at Dalhousie University covers essential steps to understand the relevant theories in this course. The illustrations and worked examples demonstrate essential workings to apply those theories. Once you have completed your course materials, you can take a sample exam with solutions and explanations provided, specifically created to simulate the real test-taking experience. With this guide, you can aim for the best grade with the help of relevant and accessible notes, examiner advice, as well as questions and answers on each key examinable topic.

COMM 1503: Introduction to Quantitative Decision Making introduces quantitative decision-making for business, economics, and management.

✔ Key Areas of Focus:

Analyze and interpret data using appropriate statistical techniques, such as descriptive statistics, probability, and inferential statistics.
Demonstrate understanding of various sampling methods and their application in collecting data for analysis.
Utilize graphical and numerical methods to effectively summarize and present quantitative and categorical data.
Apply hypothesis testing to make informed decisions about population parameters using sample data.
Conduct regression analysis to investigate relationships between variables and make predictions based on observed data.
Perform analysis of variance to compare means across multiple groups and determine if there are statistically significant differences.
Apply chi-square tests to assess the association between categorical variables and determine if observed frequencies differ from expected frequencies.

COURSE CODE	COURSE NAME
COMM 1060	Introductory Statistics for Science and Health Sciences
COMM 1101	Introductory Accounting I (Financial)
COMM 1503	Introduction to Quantitative Decision Making
COMM 2202	Finance I
COMM 2203	Finance II
COMM 2303	Introduction to Organizational Behaviour
COMM 2401	Introduction to Marketing
COMM 2501	Statistics for Business
COMM 2603	Legal Aspects of Business
COMM 3105	Intermediate Financial Accounting I
COMM 3111	Intermediate Financial Accounting II
COMM 3116	Cost Management
COMM 3203	Financial Institutions
COMM 3206	Investment and Money Management
COMM 4240	Advanced Corporate Finance
COMM 4402	Derivatives
ECON 1101	Principles of Microeconomics
ECON 1102	Principles of Macroeconomics
ECON 2200	Intermediate Microeconomics
ECON 3338	Econometrics I
ECON 4440	Time Series in Economics

MITCA.

Updated for 2026

Introduction to Quantitative Decision Making (COMM 1503)

INFORMATION

COURSE DESCRIPTION

RELATED COURSES