Loading...

Course Description

An ever-present need in business is to compare two populations, such as sales of related products, different customer segments, or productivity of factory work shifts, to name a few. In this course, you will examine how to compare two population means. Just as there is a need to look at two populations, the same is true for larger groups. However, the process of comparing three or more population means is significantly different. You will investigate the comparison of multiple means, including the experiment designs to choose from and the three-step process to follow. Additionally, you will explore how hypothesis testing is used to make judgments about a population.

Many times, however, comparisons are needed on more than one variable, such as a survey given to two different audiences or a defect caused by different pieces of equipment. Lastly, in this course you will examine tests on two variables, having either two options or multiple options and identify the formulas used in these comparisons.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Presenting Quantitative Data
  • Descriptive Statistics for Business
  • Making Predictions Using Statistical Probability
  • Inferential Statistics

Faculty Author

Cindy van Es

Benefits to the Learner

  • Examine how to compare two population means
  • Identify the two types of data and the steps to follow for each type
  • Review the formulas used in your calculations and the tools needed to visualize results.
  • Practice population comparisons
  • Investigate the comparison of multiple means, including the experiment designs to choose from and the three-step process to follow
  • Define factorial designs and what situations require their us
  • Perform a summative exercise on comparing multiple means
  • Explore how hypothesis testing is used to make judgments about a population
  • Define both binomial and multinomial random variables
  • Identify the steps to take in two-option and multi-option situations
  • Identify the formulas used in these tests and perform your own testing
  • Examine tests on two variables, having either two options or multiple options
  • Identify the formulas used in these comparisons
  • Assess the relationship between variables and visualize your findings in Excel

Target Audience

  • Entry level to executive professionals looking to uncover insights from data
  • Students who are pre-MBA or considering earning an MBA
  • Individuals interested in moving into an analyst role
  • Individuals seeking to leverage statistical or analytic skills
  • New, emerging, and experienced leaders
  • Consultants
  • Analysts and researchers
  • Entrepreneurs

Accrediting Associations

Loading...
Cornell Dyson School
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .