YORK UNIVERSITY 
SC/MATH 1131 - Introduction to Statistics I 
Final Examination Guide and Notes 2024 
 
Part A. Topic Summary and Exam Tips 
Part B. Exam Practice Questions and Answers 
Part C. Sample Final Examination Paper 
Part D. Suggested Solutions to Final Exam Paper 
 
The 24/7 Online Support You Deserve 
Need to reach out to us with questions or for help? You’ll connect with a private tutor who is extremely passionate about the course to provide assistance and help ensure that you’re on the right track to graduating. 
 
Looking for more study resources? 
Find out about all the services and resources available for students at 
York University

York University - SC/MATH 1131: Introduction to Statistics I (Solutions)

C$35.00

ACADEMIC YEAR 2023 - 2024

University	York University
Department	Mathematics and Statistics
Course Code	SC/MATH 1131
Course Name	Introduction to Statistics I
Notes Title	Final Examination Guide and Notes
Page Length	59

Prepare for the exam with the most complete study guide available for SC/MATH 1131 - Introduction to Statistics I at York University. This guide includes exam-style questions and advice on common examination pitfalls. These notes offer support for learning and revision throughout the course. Thoroughly updated, this self-study set covers all the topics in the latest edition of the exam. Key skills are demonstrated within the context of core study topics, with expertly written example notes, followed by opportunities to learn and test your knowledge - using sample exam papers and answer keys. The guide will help you approach the final examination with complete confidence.

York University's SC/MATH 1131 (Introduction to Statistics I) is a 3-credit course that introduces you to fundamental statistical techniques. The course covers summarizing data (graphical and numerical methods), probability and distributions, sampling, estimation and testing, and potentially explores comparing populations or linear regression. Though a math background is recommended, no prior computer experience is required as you'll learn necessary software use. This course is valuable for both statistics majors and non-majors due to its broad applicability.

✔ Learning Outcomes:

Ability to effectively display and describe various types of data distributions.
Understanding of analyzing relationships within categorical data.
Awareness of Simpson's paradox and the importance of proper experimental design to mitigate it.
Proficiency in designing experiments and sampling techniques.
Knowledge of randomization techniques and their significance in statistical analysis.
Understanding of fundamental probability laws and their application in modeling real-world scenarios.
Comprehension of the central limit theorem and its implications in statistical analysis.
Ability to conduct statistical inference, including constructing confidence intervals and performing significance tests.
Competence in analyzing matched pairs data.
Proficiency in using simulation techniques for statistical analysis and hypothesis testing.

COURSE CODE	COURSE NAME
AP/ADMS 2200	Introductory Marketing
AP/ADMS 2320	Business Statistics
AP/ADMS 2400	Introduction to Organizational Behaviour
AP/ADMS 2500	Introduction to Financial Accounting
AP/ADMS 2510	Introduction to Management Accounting
AP/ADMS 2610	Elements of Law: Part One
AP/ADMS 3520	An Overview of Canadian Income Taxation
AP/ADMS 3530	Finance
AP/ADMS 3531	Personal Investment Management
AP/ADMS 3585	Intermediate Financial Accounting I
AP/ADMS 3595	Intermediate Financial Accounting II
AP/ADMS 4501	Advanced Portfolio Management
AP/ADMS 4503	Derivative Securities
AP/ADMS 4540	Financial Management
AP/ECON 1000	Introduction to Microeconomics
AP/ECON 1010	Introduction to Macroeconomics
AP/ECON 2300	Intermediate Microeconomic Theory I
AP/ECON 2500	Introductory Statistics for Economists I
AP/ECON 3480	Introductory Statistics for Economists II
AP/ECON 4220	Topics in Econometrics
AP/ECON 4410	Corporate Finance

York University - SC/MATH 1131: Introduction to Statistics I (Solutions)

INFORMATION

COURSE DESCRIPTION

RELATED COURSES