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  • March 2022 (Revised July 2022)
  • Module Note

Statistical Inference

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
  • Format:Print
  • | Language:English
  • | Pages:20
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Abstract

This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic of hypothesis testing and the interpretation of p-values (in the context of two-sample hypothesis testing for means and proportions). The appendix of the note contains R code for all of these topics.

Keywords

Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

Citation

Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Statistical Inference." Harvard Business School Module Note 622-099, March 2022. (Revised July 2022.)
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About The Authors

Iavor I. Bojinov

Technology and Operations Management
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Michael I. Parzen

Technology and Operations Management
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Related Work

    • March 2022 (Revised July 2022)
    • Faculty Research

    Statistical Inference

    By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
Related Work
  • Statistical Inference By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
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