UNIVERSITY OF CALGARY 
STAT213: Introduction to Statistics I 
Comprehensive Revision Guide and Notes 2026 
 
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 Calgary - STAT213: Introduction to Statistics I

$35.00

ACADEMIC YEAR 2025 - 2026

University	University of Calgary
Study Level	Undergraduate
Course Code	STAT213
Course Name	Introduction to Statistics I
Notes Title	Comprehensive Revision Guide and Notes
Format	PDF
Page Length	61

Prepare for success with the most comprehensive study guide for STAT213: Introduction to Statistics I at the University of Calgary. This essential resource supports your learning and revision throughout the course, offering detailed notes, exam-style questions, and expert advice on avoiding common pitfalls. Thoroughly updated to cover all course topics, the guide includes expertly written examples, practice questions, and sample exam papers with answer keys, ensuring you can confidently tackle any assessment and excel in your studies.

STAT213: Introduction to Statistics I covers probability, including Bayes' law, expectations, and distributions. It explores discrete and continuous random variables, properties of the normal curve, data collection, and visualization. The course introduces statistical modeling and parametric/simulation-based confidence interval estimation. Prerequisites include Mathematics 30-1, 212, or Mathematics 2 (Continuing Education). Students with credit in Statistics 205, 327, 321, Engineering 319, or Digital Engineering 319 cannot enroll, and concurrent enrollment in Statistics 321 or Engineering 319 is not allowed.

Key Areas of Focus:

Understand basic probability concepts, including Bayes' law, and different types of random variables.
Identify and differentiate between populations and samples, as well as parameters and statistics.
Analyze data using various graphical techniques to determine distribution shape, center, and spread.
Calculate probabilities for simple and compound events, including mutually exclusive, independent, and conditional events.
Work with different probability models (Binomial, Poisson, Normal, etc.) to compute probabilities.
Construct and interpret confidence intervals for population means and proportions.
Perform simple linear regression analysis and interpret results, including correlation and regression parameters.
Execute hypothesis testing for population means and proportions, including setting up hypotheses and interpreting P-values.

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STAT 217	Introduction to Statistics II
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STAT 505	Time Series Analysis

Updated for 2026

University of Calgary - STAT213: Introduction to Statistics I

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