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Introduction

In: A Guide to Robust Statistical Methods

Author

Listed:
  • Rand R. Wilcox

    (University of Southern California, Department of Psychology)

Abstract

An essential component of a basic introductory statistics course is describing classic methods for making inferences about a population of participants or things based on a sample of participants or things. For example, there is the issue of whether a new vaccine has any negative side effects. Based on a sample of one-hundred individuals, what can be said about the likelihood of a negative side effect if all adults are given the vaccine? Imagine there is an interest in the association between the light intensity of a star and its surface temperature. Based on data obtained for 47 stars, to what extent do the data reveal the true association if all stars could be measured?

Suggested Citation

  • Rand R. Wilcox, 2023. "Introduction," Springer Books, in: A Guide to Robust Statistical Methods, chapter 0, pages 1-24, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-41713-9_1
    DOI: 10.1007/978-3-031-41713-9_1
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