UNIVERSITY OF OTTAWA

ADM 2303: Statistics for Management

Comprehensive Study and Exam Preparation Guide 2026

Part 01: Topic Summary and Exam Tips

Part 02: Exam Practice Questions and Answers

Part 03: Sample Examination Paper

Part 04: Suggested Solutions to Exam Paper

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University of Ottawa - ADM 2303: Statistics for Management

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ACADEMIC YEAR 2026 - 2027

University	University of Ottawa
Study Level	Undergraduate
Course Code	ADM 2303
Course Name	Statistics for Management
Notes Title	Comprehensive Study and Exam Prep. Guide
Page Length	61

Prepare for the exam with the most complete study guide available for ADM 2303: Statistics for Management at the University of Ottawa, including exam-style questions, and advice on common examination pitfalls. These notes provide support for learning and revision throughout the course. This self-study set has been thoroughly updated to cover all the topics contained in the latest edition of the exam. The key skills are demonstrated through expertly written notes on core topics, followed by opportunities to test your knowledge with a sample exam paper and answer key. This guide will help you to take the final exam with complete confidence.

ADM 2303: Statistics for Management introduces statistical tools and techniques essential for business decision-making. The course covers data types and classifications, foundational probability principles, and concepts of independence, including Bayes' Rule. Students explore both discrete and continuous probability distributions, such as binomial, Poisson, uniform, and normal distributions, emphasizing real-world applications in management. The course also examines random variables, empirical probability models, and probability trees, providing a strong foundation for more advanced statistical analysis.

Additionally, the course emphasizes data representation and descriptive statistics, using tools like histograms, stem-and-leaf diagrams, and scatter plots to understand data patterns. Key measures of central tendency and variability, such as mean, median, percentiles, and range, are explored in depth. Sampling methods, sampling distributions, and the Central Limit Theorem are introduced, along with correlation, covariance, and the basics of statistical process control and quality improvement techniques.

Prerequisites include ADM 1305, MAT 1300, or MAT 1329.

COURSE CODE	COURSE NAME
ADM 1100	Introduction to Business
ADM 1340	Financial Accounting
ADM 2303	Statistics for Management
ADM 2320	Marketing
ADM 2341	Managerial Accounting
ADM 2342	Intermediate Accounting I
ADM 3340	Intermediate Accounting II
ADM 3345	Taxation I
ADM 3350	Corporate Finance
ADM 3351	Fixed Income Investments
ADM 3352	Portfolio Management
ADM 3360	Business Law
ADM 4351	Options and Futures
ADM 2350	Financial Management
ECO 1102	Introduction to Macroeconomics
ECO 1104	Introduction to Microeconomics
ECO 2144	Microeconomic Theory I
ECO 2145	Microeconomic Theory II
MAT 2375	Introduction to Statistics
MAT 3375	Regression Analysis
MAT 3379	Introduction to Time Series Analysis

MITCA

Updated for 2026

University of Ottawa - ADM 2303: Statistics for Management

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