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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 AuthorChris 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
- Functional Managers
- Any professional that uses data to make business decisions
- Project Management Institute (PMI) Approval Number 26469WPJ5M 10.0 Units