UNIVERSITY OF BRITISH COLUMBIA 
PSYC 218 - Analysis of Behavioural Data 
Comprehensive Revision Guide and Notes 2024 
 
Part 01: Revision Notes 
Part 02: Exam Practice Questions and Answers 
Part 03: Sample Examination 
Part 04: Detailed Solutions and Explanations 
 
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PSYC 218: Analysis of Behavioural Data - at UBC

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ACADEMIC YEAR 2024 - 2025

University	University of British Columbia
Study Level	Undergraduate
Course Code	PSYC 218
Course Title	Analysis of Behavioural Data
Notes Title	Comprehensive Revision Guide and Notes
Page Length	61

Prepare for the exam with the most complete study guide available for the PSYC 218: Analysis of Behavioural Data, University of British Columbia 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 the topics contained in the latest edition of the exam. The key skills are demonstrated in the context of the core topics of study with expertly written example sets of notes, followed by opportunities to learn and test your knowledge with the sample exam paper and answer key. This guide will help you to take the examination with complete confidence.

Analysis of quantitative data is an important part of our daily lives, whether we are consciously aware of it or not. Scientific research, polls and our own informal data-gathering projects (‘Which car is the best deal?’ ‘What class did students like the best last term?’) are all characterized by interpreting data, formally or informally, to support our conclusions. This course introduces statistics as a tool for the formal analysis of quantitative data. We will cover descriptive statistics (finding patterns in data), basic principles of probability, and inferential statistics (testing patterns in data to in order to draw reliable conclusions from those data). Becoming familiar with these topics will help you to analyze others’ claims about data with a more trained eye, as well as to clean, describe, and analyze data from your own research projects.

By the end of this course, a successful student can expect to be able to:

Contrast descriptive and inferential statistics
Explain why we use statistics in psychological science
Select appropriate statistical techniques for investigating different data structures
Interpret statistical findings from the Null-Hypothesis Statistical Testing (NHST) framework; with reference to strengths and limitations of the NHST approach
Critique others’ (e.g., researchers, media) interpretations of statistical findings
Integrate overlapping concepts underlying inferential statistics including estimation, probability, error management, effect size, and statistical power
Apply statistical learning by calculating descriptive and inferential statistics using statistical software

* Prerequisite: One of PSYC 217, PSYC 277.

COURSE CODE	COURSE TITLE
COMM 191	Application of Statistics in Business
COMM 192	Management and Organizational Behaviour
COMM 293	Financial Accounting
COMM 294	Managerial Accounting
COMM 296	Introduction to Marketing
COMM 298	Introduction to Finance
COMM 353	Financial Accounting: Intermediate I
COMM 370	Corporate Finance
COMM 371	Investment Theory
COMM 393	Commercial Law
COMM 450	Financial Accounting: Intermediate II
COMM 474	Fixed Income Markets and Management
COMM 475	Investment Policy
ECON 101	Principles of Microeconomics
ECON 102	Principles of Macroeconomics
ECON 301	Intermediate Microeconomic Analysis I
ECON 303	Intermediate Microeconomics II
ECON 325	Introduction to Econometrics I
ECON 326	Introduction to Econometrics II
ECON 345	Money and Banking
PSYC 218	Analysis of Behavioural Data
STAT 203	Statistical Methods
STAT 300	Intermediate Statistics for Applications
STAT 443	Time Series and Forecasting

PSYC 218: Analysis of Behavioural Data - at UBC

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