Data Analysis – Decision Making

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This resource, developed by the British Pharmacological Society, will help you understand how you can use features of experimental design and statistics when making decisions about the findings from an experiment.

This resource is aimed at anyone who needs to analyse literature and/or data generated from preclinical studies, including those involving research animals. By the end of the module you will be able to:

  1. Understand how to make decisions using statistical analysis
  2. Explain what variability is and the impact it has on decision making
  3. Appreciate what Type I and Type II errors are and how we can limit them using experimental design
  4. Understand the formal statistical framework for making decisions and what it implies
  5. Decide whether to “test for a difference” or “test for equivalence” and know how to perform these tests in practice

The maximum estimated time needed to complete it is 2 hours.