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  • February 2021
  • Tutorial

T-tests: Theory and Practice

By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel
  • Format:Video
  • | Language:English
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Abstract

This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with the “Comparing Two Groups: Sampling and t-Testing” technical note (HBS No. 621-044).

Keywords

Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis

Citation

Parzen, Michael, Natalie Epstein, Chiara Farronato, and Michael Toffel. T-tests: Theory and Practice. Harvard Business School Tutorial 621-707, February 2021.
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About The Authors

Michael I. Parzen

Technology and Operations Management
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Chiara Farronato

Technology and Operations Management
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Michael W. Toffel

Technology and Operations Management
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More from the Authors
  • Calyx Global: Rating Carbon Credits By: Michael W. Toffel and Adam Chen
  • Arla Foods: Data-Driven Decarbonization (A) and (B) PowerPoint Supplement By: Michael Parzen, Michael W. Toffel and Susan Pinckney
  • Climate Change Adaptation with Artificial Intelligence and Machine Learning By: Michael W. Toffel and Nabig Chaudhry
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