10:22 Sep 20, 2019 |
English language (monolingual) [PRO] Mathematics & Statistics | ||||
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| Selected response from: AJ Ablooglu Türkiye Local time: 00:52 | |||
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SUMMARY OF ALL EXPLANATIONS PROVIDED | ||||
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4 +3 | Extra variable that wasn’t accounted for |
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confounding variable Extra variable that wasn’t accounted for Explanation: A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They can suggest there is correlation when in fact there isn’t. They can even introduce bias. That’s why it’s important to know what one is, and how to avoid getting them into your experiment in the first place. Reference: http://www.statisticshowto.datasciencecentral.com/experiment... Reference: http://www.sciencedirect.com/topics/nursing-and-health-profe... |
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