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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 2 of 2 (0.029 seconds)

Spelling suggestions: "subject:"simpson paradox"" "subject:"simpson aparadox""

1

Use and misuse of quantitative and graphical Information in Statistics An Approach in Teaching

Carter, Lucette, Hardouin, Cécile 12 April 2012 (has links) (PDF)
Miscellaneous examples of misleading statistical data or interpretation are presented in a form suitable for students in mathematics or Social Sciences during a first course of statistics. The aim is to promote critical thinking when confronted (mainly by the media or scientific papers) by information that is biased, incomplete, poorly defined, or deliberately oriented towards a preconceived target. Starting with the simple manipulation of Simpson paradox, the emphasis is put on the need for counfounding in the analysis of relationship between variables.
Irreführende statistische Informationen
Simpson Paradoxon
Kausalität und Korrelation
schlechte Grafiken
Misleading Statistical Information
Simpson Paradox
Causality and Correlation
Poor Graphics
ddc:510
rvk:SD 2009
2

Use and misuse of quantitative and graphical Information in StatisticsAn Approach in Teaching

Carter, Lucette, Hardouin, Cécile 12 April 2012 (has links)
Miscellaneous examples of misleading statistical data or interpretation are presented in a form suitable for students in mathematics or Social Sciences during a first course of statistics. The aim is to promote critical thinking when confronted (mainly by the media or scientific papers) by information that is biased, incomplete, poorly defined, or deliberately oriented towards a preconceived target. Starting with the simple manipulation of Simpson paradox, the emphasis is put on the need for counfounding in the analysis of relationship between variables.
info:eu-repo/classification/ddc/510
ddc:510

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