CONCORDIA UNIVERSITY

ECON 222: Statistical Methods II

Comprehensive Study and Exam Preparation Guide 2026

Part 01: Revision Notes

Part 02: Sample Examination Paper

Part 03: Detailed Solutions and Explanations

Part 04: Proven Exam Strategies and Tips

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Concordia University - ECON 222: Statistical Methods II

$35.00

ACADEMIC YEAR 2026 - 2027

University	Concordia University
Department	Economics
Course Code	ECON 222
Course Name	Statistical Methods II
Notes Title	Comprehensive Study and Exam Prep. Guide
Format	PDF
Page Length	76

Get ready for ECON 222: Statistical Methods II at Concordia University with this comprehensive guide. The guide offers topic revision for the course and typical questions you might encounter on your exams. Whether you are reviewing course content or preparing for your upcoming exam, use this guide to reinforce your understanding and test your knowledge with exam-style practice questions, complete with worked solutions and detailed explanations. Keep it handy as a quick reference to study more effectively, build confidence, and improve your performance in the course. Note: Students have the option to request a paperback version at checkout.

This advanced econometrics course, ECON 222: Statistical Methods II extends foundational topics from ECON 221, focusing on hypothesis testing and the classical linear regression model. The course examines the model’s key assumptions, the properties of estimates derived from it, and methods for interpreting results. Emphasis is placed on understanding the effects of violating model assumptions and exploring corrective measures. Main topics to be covered include model specification, heteroscedasticity, multicollinearity, indicator variables, time series, and forecasting.

Upon completion, you will be adept at testing various hypotheses and applying statistical inference to make data-driven conclusions. You will also acquire a technical understanding of regression theory, enabling them to compute, interpret, and communicate results effectively. The course aims to develop both computational competence and the capacity to clearly explain the ideas behind regression analysis and forecasting, preparing you for complex statistical challenges in research and applied econometrics.

Prerequisites include ECON 221 and either MATH 203 or MATH 209, or an equivalent course.

COURSE CODE	COURSE NAME
ACCO 230	Introduction to Financial Accounting
ACCO 310	Financial Reporting I
ACCO 320	Financial Reporting II
ACTU 256	Mathematics of Finance
COMM 215	Business Statistics
COMM 217	Financial Accounting
COMM 220	Analysis of Markets
COMM 222	Organizational Behaviour and Theory
COMM 223	Marketing Management
COMM 305	Managerial Accounting
COMM 308	Introduction to Finance
COMM 315	Business Law and Ethics
ECON 201	Introduction to Microeconomics
ECON 203	Introduction to Macroeconomics
ECON 221	Statistical Methods I
ECON 222	Statistical Methods II
ECON 301	Intermediate Microeconomic Theory I
ECON 421	Econometrics I
ECON 423	Topics in Applied Econometrics
FINA 385	Theory of Finance I
FINA 395	Theory of Finance II
FINA 411	Portfolio Management
FINA 412	Options and Futures
PSYC 315	Statistical Analysis I
STAT 250	Statistics
STAT 460	Time Series and Forecasting

MITCA

Updated for 2026

Concordia University - ECON 222: Statistical Methods II

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