# BUSN 5011: Managerial Statistics

Students examine the statistical methods and tools required for decision making in today's business environment. Topics include descriptive statistics and numerical measures, statistical inferences with two populations, hypothesis tests and nonparametric methods, analysis of variance, simple regression models, multiple regression models, regression and the model building process, regression models with categorical dependent variables, applied models with categorical dependent variables.

## Learning outcomes

• Summarize, tabulate, plot, and professionally present raw data for a target audience including measures of location, relative location, variability, and association between two variables.
• Apply a variety of probability distributions in different areas of business.
• Construct interval estimates for a variety of hypothesized parameters.
• Set up, develop, and test hypothesized parameters including distribution-free methods.
• Analyze and test data out of experimental designs and observational data.
• Build, estimate, test, and interpret possible existing relationships between two variables, using simple regression analysis.
• Build, estimate, test, and interpret possible existing relationships among more than two variables, using multiple regression analysis.
• Deal with major issues including transformations and interactions in regression models.
• Build and estimate regression models with qualitative (categorical) dependent variable.

## Course topics

Unit 1 – Introduction to Statistics and Probability

• Module 1: Graphical and Numerical Descriptive Statistics
• Module 2: Probability and Probability Distributions

Unit 2 – Statistical Inference

• Module 3: Sampling Distributions
• Module 4: Interval Estimation for a Single Population
• Module 5: Hypothesis Testing for a Single Population

Unit 3 – Analysis of Multiple Groups

• Module 6: Statistical Inference for Two Populations
• Module 7: Categorical Data Analysis
• Module 8: Analysis of Variance (ANOVA)

Unit 4 – Regression Modeling

• Module 9: Simple Linear Regression
• Module 10: Residual Analysis
• Module 11: Multiple Regression
• Module 12: Categorical Variables in Regression

## Required text and materials

Online students are responsible for sourcing and ordering their own textbooks. Please see the list of required textbooks here: https://www.tru.ca/distance/courses/MBA_Textbook_List.pdf.

Please note that publishers may offer several package options that include additional resource material not required in your course. You may purchase a package of your choice as long as it includes the correct author, title and edition listed for your course.