top banner top banner
index
RegularArticles
ReplicationStudies
SpecialIssues
Vignettes
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

A Compendium of Common Heuristics, Misconceptions, and Biased Reasoning used in Statistical Thinking

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.20.1.p057

Husereau, Tracy , Cousineau, Denis , Zang, Shuo , Gibeau, Rose-Marie
57-75
Keywords: Statistics reasoning; heuristics; cognitive biases; misconceptions
(no sample data)   (no appendix)

Over the past decades, many researchers have identified ways of reasoning in the domain of statistics and probabilities that do not match statistics and probabilities results. Some of these inadequate conceptualizations are reviewed herein. They include, among others, the gambler’s fallacy, the law of small numbers, the misunderstanding of randomness, and they touch various aspects of statistics reasoning (sampling procedures, probability estimation, mean estimation, variance estimation, and inference). A classification is put forward.


Pages © TQMP;
Website last modified: 2024-03-28.
Template last modified: 2022-03-04 18h27.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS