Data dredging
id:
data-dredging-166-1592792
title:
Data dredging
text:
Data dredging is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results. The process of data dredging involves testing multiple hypotheses using a single data set by exhaustively searching—perhaps for combinations of variables that might show a cor
brand slug:
wiki
category slug:
encyclopedia
description:
Misuse of data analysis
original url:
https://en.wikipedia.org/wiki/Data_dredging
date created:
2004-12-22T14:59:44Z
date modified:
2024-08-29T18:11:32Z
main entity:
{"identifier":"Q5227277","url":"https://www.wikidata.org/entity/Q5227277"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/0/0c/Spurious_correlations_-_spelling_bee_spiders.svg","width":1040,"height":410}
fields total:
13
integrity:
16