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Course Description

Summary statistics are one way to forecast uncertain outcomes, and the statistical results can be used to make decisions or guide strategy. Since summary statistics are based on a data sample, they typically inform intuitive decision-making. That is, the model requires interpretation which relies on the business intuition of the person using it.

You’ll learn how to examine sample data scientifically to limit any generalizations to only the patterns that have the strongest statistical support. As always, intuition and business knowledge play an important role in the process, but this course will prepare you to apply a level of scientific rigor that will lead to better results. 

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

  • Understanding and Visualizing Data

Faculty Author

Chris Anderson
Associate Professor, School of Hotel Administration, Cornell University

Benefits to the Learner

  • Formulate a question as a null and alternate hypothesis
  • Calculate a test statistic from sample data
  • Identify the statistical test most appropriate for testing your hypothesis
  • Determine the likelihood of finding a result at least as extreme as the test statistic assuming the null hypothesis

Target Audience

  • Analysts
  • Functional Managers
  • Executives
  • Consultants
  • Any professional that uses data to make business decisions

Accrediting Associations

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Cornell University’s SC Johnson College of Business
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