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This chapter provides brief introductions to two models of statistical inference: the Neyman–Pearson population model and the Fisher–Pitman permutation model. Included in the chapter is a discussion of levels of measurement, a presentation on sample proportions, percentages, rates, and odds, and overviews of the the remaining nine chapters.

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Introduction

  • 章节

  • 发表日期：

    2025年

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  • Kenneth J. Berry,
  • Janis E. Johnston,
  • Michael A. Long,
  • Paul B. Stretesky,
  • Michael J. Lynch

摘要

This chapter provides brief introductions to two models of statistical inference: the Neyman–Pearson population model and the Fisher–Pitman permutation model. Included in the chapter is a discussion of levels of measurement, a presentation on sample proportions, percentages, rates, and odds, and overviews of the the remaining nine chapters.