UNIVERSITY OF CALGARY 
STAT217: Introduction to Statistics II 
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 Calgary - STAT217: Introduction to Statistics II

C$35.00

ACADEMIC YEAR 2024 - 2025

University	University of Calgary
Study Level	Undergraduate
Course Code	STAT217
Course Name	Introduction to Statistics II
Notes Title	Comprehensive Revision Guide and Notes
Format	PDF
Page Length	59

This concise guide, tailored for STAT217: Introduction to Statistics II at the University of Calgary, is your essential companion throughout the academic term. It comprehensively covers all key theories with clear explanations and practical examples to aid your understanding. The included sample exams with solutions provide invaluable practice by simulating real test conditions, ensuring you're thoroughly prepared for every assessment and examination. Benefit from accessible notes, expert examiner advice, and detailed Q&A on each key examinable topic to achieve your best academic performance.

STAT217: Introduction to Statistics II covers parametric and simulation-based hypothesis testing, including confidence intervals, errors, and testing differences between two parameters. The course also explores tests of association, goodness-of-fit, statistical modeling for simple and multiple models, diagnostic checking, and analysis of variance. Prerequisite: Statistics 213. Note: Credit is not allowed for this course if you have already taken or are enrolled in Statistics 205, 327, 321, Engineering 319, or Digital Engineering 319.

Key Areas of Focus:

Perform parametric and simulation-based hypothesis testing, including error analysis.
Construct and interpret confidence intervals for differences between two parameters.
Conduct tests of association, goodness-of-fit, and evaluate statistical models.
Analyze and compare populations using parametric and non-parametric methods.
Assess and ensure the assumptions of Normality, equal variance, and data dependence.
Calculate and interpret probabilities of Type I and Type II errors.
Evaluate correlation between two qualitative variables and assess model fit for specific distributions.
Model relationships between quantitative variables using linear and multiple regression.
Apply and interpret ANOVA (One-Way, Two-Way, and Post Hoc tests) for comparing multiple groups.

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ACCT 341	Intermediate Financial Accounting I
ACCT 343	Intermediate Financial Accounting II
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ECON 203	Principles of Macroeconomics
ECON 230	Microeconomic Theory
ECON 357	Intermediate Economic Theory Microeconomics II
ECON 395	Introduction to Econometrics
FNCE 317	Financial Management
FNCE 443	Security Analysis and Investments
FNCE 445	Futures and Options
FNCE 463	Portfolio Theory and Management
FNCE 467	Financial Risk Management
MKTG 317	Foundations of Marketing
OBHR 317	Organizational Behaviour
SGMA 395	Business Law for Strategic Decision-Makers
STAT 213	Introduction to Statistics I
STAT 217	Introduction to Statistics II
STAT 429	Linear Models and Their Applications
STAT 505	Time Series Analysis

University of Calgary - STAT217: Introduction to Statistics II

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