Introduction
Rand R. Wilcox
Additional contact information
Rand R. Wilcox: University of Southern California, Department of Psychology
Chapter Chapter 1 in A Guide to Robust Statistical Methods, 2023, pp 1-24 from Springer
Abstract:
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?
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-41713-9_1
Ordering information: This item can be ordered from
http://www.springer.com/9783031417139
DOI: 10.1007/978-3-031-41713-9_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().