MOUNT ROYAL UNIVERSITY 
MGMT 2262: Statistics and Analytics for Business 
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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Mount Royal University - MGMT 2262: Statistics and Analytics for Business

C$35.00

ACADEMIC YEAR 2024 - 2025

University	Mount Royal University
Study Level	Undergraduate
Course Code	MGMT 2262
Course Name	Statistics and Analytics for Business
Notes Title	Comprehensive Revision Guide and Notes
Delivered As	PDF
Page Length	59

This MGMT 2262: Statistics and Analytics for Business, Mount Royal University - Comprehensive Revision Guide and Notes 2025 is an invaluable resource for mastering the course from the first day of class through your final exam review. This self-study guide has been thoroughly updated to cover all topics included in the latest edition of the course. It contains sample exam questions with detailed answers, helping you understand the question format and identify key topics for review as you prepare for the exam. Additionally, it provides essential information on the exam format, the topics that will be covered, and the key concepts you should focus on in your studies.

Overview:

Students are introduced to how data can be used to better understand business situations and to make evidence-based decisions. Topics include collecting data; cleaning and organizing data; making sense of data through visual and numerical summaries; utilizing linear regression to model business situations; introduction to decision analysis using probabilities, and drawing inferences using hypothesis tests and confidence intervals.

Key Areas of Focus:

Understand and describe distributions using skewness, kurtosis, and measures of central tendency.
Calculate and interpret measures of variation like range, variance, and standard deviation.
Apply concepts of probability
Use probability rules and Bayes' Theorem to solve problems.
Analyze discrete and continuous probability distributions, including binomial, Poisson, and normal distributions.
Understand and apply the central limit theorem and sampling distributions.
Construct and interpret confidence intervals and perform hypothesis testing.
Conduct simple linear regression analysis, including calculating and interpreting the correlation coefficient.

COURSE CODE	COURSE NAME
ACCT 2121	Financial Accounting Concepts
ACCT 3221	Intermediate Accounting I
ACCT 3224	Management Accounting I
ACCT 4222	Intermediate Accounting II
ACCT 4280	Introduction to Personal and Corporate Income Tax
ECON 1101	Principles of Microeconomics
ECON 1103	Principles of Macroeconomics
ECON 2211	Intermediate Economic Theory - Microeconomics I
ECON 3395	Introduction to Applied Econometrics
FNCE 3227	Introduction to Finance
FNCE 3228	Advanced Corporate Finance
FNCE 4407	Investments and Portfolio Management
FNCE 4408	Financial Risk Management
FNCE 4409	Security Analysis and Valuation
MATH 1224	Introduction to Statistics
MATH 2333	Statistics for Life Sciences
MATH 3454	Regression and Time Series Analysis
MGMT 2130	Management Principles and Practices
MGMT 2262	Statistics and Analytics for Business
MGMT 3230	Business Law
MKTG 2150	Introduction to Marketing

Mount Royal University - MGMT 2262: Statistics and Analytics for Business

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