UNIVERSITY OF GUELPH 
STAT*2040 - Statistics I 
Comprehensive Revision Guide and Notes 2025 
 
Part 01: Topic Summary and Exam Tips 
Part 02: Exam Practice Questions and Answers 
Part 03: Sample Examination 
Part 04: Suggested Solutions to Exam Paper 
 
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University of Guelph - STAT*2040: Statistics I

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ACADEMIC YEAR 2024 - 2025

University	University of Guelph
Study Level	Undergraduate
Course Code	STAT*2040
Course Name	Statistics I
Notes Title	Comprehensive Revision Guide and Notes
Page Length	61 pages

Prepare for the exam with the most comprehensive study guide available for STAT*2040: Statistics I - at the University of Guelph, 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 topics in the latest edition of the exam. Key skills are demonstrated in the context of core study topics, with expertly written example sets of notes, followed by opportunities to learn and test your knowledge with a sample exam paper and answer key. This guide will help you take the examination with complete confidence.

Course Overview:

(Credit Weight: 0.50) This course focuses on the practical methods of Statistics and the topics include: descriptive statistics; univariate models such as binomial, Poisson, uniform and normal; the central limit theorem; expected value; the t, F and chi-square models; point and interval estimation; hypothesis testing methods up to two-sample data; simple regression and correlation; introduction to analysis of variance. Assignments will deal with real data from the natural sciences and involve the use of statistical software for computing and visualization. Prerequisite(s): 1 of 4U Calculus and Vectors, Advanced Functions and Calculus, OAC Calculus, MATH*1080.

What You'll Learn:

Understand basic concepts of statistics and statistical inference.
Create and interpret tables and graphs to summarize data.
Calculate and interpret numerical summary measures.
Understand and apply basic probability concepts.
Define and work with random variables and discrete probability distributions.
Understand and apply continuous probability distributions.
Learn about sampling distributions and their significance.
Construct confidence intervals and perform hypothesis tests for single and two samples.
Conduct and interpret analysis of variance (ANOVA).

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FIN*3000	Investments
FIN*3100	Corporate Finance
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FIN*3500	Money, Credit, and the Financial System
HROB*2090	Individuals and Groups in Organizations
MCS*1000	Introductory Marketing
MCS*3040	Business and Consumer Law
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STAT*2060	Statistics for Business Decisions
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University of Guelph - STAT*2040: Statistics I

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