BROCK UNIVERSITY 
STAT 1F92: Introductory Statistics 
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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Brock University - STAT 1F92: Introductory Statistics

C$35.00

ACADEMIC YEAR 2024 - 2025

University	Brock University
Study Level	Undergraduate
Course Code	STAT 1F92
Course Name	Introductory Statistics
Notes Title	Comprehensive Revision Guide and Notes
Format	PDF
Page Length	61

Prepare for success with the most comprehensive study guide for STAT 1F92: Introductory Statistics at Brock University. This essential resource supports your learning and review throughout the course, offering detailed notes, exam-style questions, and expert advice on avoiding common pitfalls. Thoroughly updated to cover all course topics, the guide includes expertly written examples, practice questions, and sample exam papers with answer keys, ensuring you can confidently tackle any assessment and excel in your studies.

STAT 1F92 - Introductory Statistics covers key statistical concepts including data description and comparison, linear regression, basic probability theory, and various probability distributions like binomial and normal. The course also explores the Central Limit Theorem, confidence intervals, hypothesis testing, and the properties of t-, F-, and chi-squared distributions, along with analysis of variance and regression inference. There is a strong emphasis on interpreting numerical results using Minitab software. Completion of this course replaces credits for STAT 1P98 (MATH) and STAT 1P99 (MATH), and concurrent enrollment in these courses is not allowed.

Key Areas of Focus:

Describe and compare data sets.
Perform linear regression analysis.
Understand basic probability theory.
Apply discrete probability distributions, including binomial and normal.
Use the Central Limit Theorem.
Calculate confidence intervals and conduct hypothesis tests on means and proportions.
Understand properties of t-, F-, and chi-squared distributions.
Perform analysis of variance (ANOVA) and make inferences on regression.

COURSE CODE	COURSE NAME
ACTG 1P01	Introduction to Financial Accounting
ACTG 2P12	Introduction to Management Accounting
ACTG 2P31	Accounting for External Reporting I
ACTG 2P40	Commercial Law
ACTG 3P33	Accounting for External Reporting III
ECON 1P91	Principles of Microeconomics
ECON 1P92	Principles of Macroeconomics
ECON 2P21	Intermediate Microeconomics I
ECON 2P90	Introduction to Econometrics
ECON 3P03	Money and Banking I
ECON 3P92	Forecasting Using Time Series Data
FNCE 2P91	Corporate Finance I
FNCE 3P93	Corporate Finance II
FNCE 4P04	Investment Analysis and Portfolio Management
FNCE 4P08	Management of Financial Institutions
FNCE 4P09	Portfolio Management
FNCE 4P16	Derivatives I
MGMT 1P93	Principles of Business
MKTG 2P91	Introduction to Marketing
STAT 1F92	Introductory Statistics
STAT 1P99	Applied Statistics for Life Sciences

Brock University - STAT 1F92: Introductory Statistics

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