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Course Overview

This course introduces students to basic statistical methods that provide insight into current business operations and help predict future conditions for effective business planning. Students will use descriptive and inferential statistics to describe current data, make estimates about larger groups, and inform smart business decisions.

What You'll Learn

Chapter 1: Introduction to Business Statistics

Chapter 2: Probability

Chapter 3: The T-Test

Chapter 4: One-Way ANOVA: Differences between Three or More Groups

Chapter 5: Two-Way ANOVA: Differences between Three or More Groups

Chapter 6: Repeated Measures ANOVA: Differences between Three or More Groups

Chapter 7: Mixed Factorial ANOVA: Differences between Three or More Groups

Chapter 8: Correlation Coefficient: Relationships between Two Variables

Chapter 9: Simple Linear Regression: Relationships between Two Variables

Chapter 10: Multiple Regression: Relationships between Three or More Variables

Chapter 11: Dealing with Categorical Variables: Chi-Square and Differences Between Groups

Chapter 12: Dealing with Categorical Variables: Logistic Regressions and Relationships Between Variables

Chapter 13: Nonparametrics

Who Should Attend

  • Managers
  • Support Staff
  • Executives
  • Line Managers
  • Supervisors
  • Recent Graduates
  • Business Students
  • CEU Seekers
  • Career Pivoters
  • Resume Builders

Additional Information

Students must complete all sections to earn the Digital Badge of Completion.

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Enroll Now - Select a section to enroll in
Section Schedule
Date and Time TBA
Delivery Options
Course Fee(s)
Fee non-credit $599.00
Drop Request Deadline
No drop request allowed after enrollment
Transfer Request Deadline
No transfer request allowed after enrollment
Section Notes

This is a self-paced class and you will have 365 days to complete after enrollment.

This course is offered through Anderson School of Management.

UNM Staff, Faculty and Retirees can use their Tuition Remission benefit on professional development programs.

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