UNIVERSITY OF TORONTO 
SOC202: Introduction to Quantitative Methods in Sociology 
Comprehensive Study and Exam Preparation Guide 2024 
 
Part 01: Revision Notes 
Part 02: Exam Practice Questions & Answers 
Part 03: Sample Examination Paper 
Part 04: Detailed Solutions & Explanations 
 
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SOC202: Introduction to Quantitative Methods in Sociology (Solutions)

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ACADEMIC YEAR 2024 - 2025

University	University of Toronto
Study Level	Undergraduate
Course Code	SOC202
Course Name	Intro to Quantitative Methods in Sociology
Notes Title	Comprehensive Study & Exam Prep. Guide
Page Length	59

Prepare for the SOC202: Introduction to Quantitative Methods in Sociology final examination 2024 at the University of Toronto with the most complete exam guide available for this course, including exam-style questions and advice on common examination pitfalls. You will get with a clear picture of how the final exam will be assessed, and how it is structured, as well as the likely style and range of questions that you could see in the real exam. The purpose of this guide is to provide a logical structure for the topics that make up the course, to emphasize and explain the important concepts and methods in each topic, and to provide initial examples to which the concepts and methods are applied.

This course introduces students to the tools and logic used by social scientists to measure social phenomena and address key research questions. Students will learn to define variables, develop hypotheses, explore relationships between variables, and use statistical techniques to make inferences about populations based on sample data. The course emphasizes both conceptual understanding and practical application of quantitative methods.

Main topics include measurement, levels of measurement, descriptive and inferential statistics, normal distributions, and sampling methods. Students will also engage with cross-tabulations, Chi-Square tests, measures of association (Lambda and Gamma), and regression analysis. Through these methods, they will develop skills in interpreting statistical outputs, including p-values, confidence intervals, regression coefficients, and the coefficient of determination (r²).

By the end of the course, students will be equipped to analyze relationships between variables using both bivariate and multiple regression techniques. They will also understand how statistical controls work and how to interpret results in real-world sociological research. Prerequisites include SOC100 or SOC150, with recommended preparation in SOC150.

COURSE CODE	COURSE NAME
ACT240	Mathematics of Investment & Credit
ECO101	Principles of Microeconomics
ECO102	Principles of Macroeconomics
ECO206	Microeconomic Theory
ECO220	Introduction to Data Analysis & Applied Econometrics
ECO227	Foundations of Econometrics
ECO372	Data Analysis & Applied Econometrics in Practice
ECO374	Forecasting and Time Series Econometrics
ECO375	Applied Econometrics I
EEB225	Biostatistics for Biological Sciences
MGM390	Business Law
PSY201	Statistics I
RSM219	Introduction to Financial Accounting
RSM220	Intermediate Financial Accounting I
RSM221	Intermediate Financial Accounting II
RSM222	Management Accounting I
RSM225	Legal Environment of Business I
RSM230	Financial Markets
RSM250	Principles of Marketing
RSM260	Organizational Behaviour
RSM332	Capital Market Theory
RSM333	Corporate Finance
RSM336	Investments
RSM433	Advanced Corporate Finance
RSM435	Futures and Options Markets
SOC202	Introduction to Quantitative Methods in Sociology
STA220	The Practice of Statistics I

SOC202: Introduction to Quantitative Methods in Sociology (Solutions)

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