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
 

How It Works

Course Length
2 weeks
Effort
3 to 5 hours of study per week
Format
100% online, instructor-led
  • 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
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