Is mean imputation of missing data acceptable practice? Why or why not?

Data Science Interview Questions › Category: Data Science › Is mean imputation of missing data acceptable practice? Why or why not?
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MockInterview Staff asked 7 years ago
1 Answers
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MockInterview Staff answered 7 years ago
  • Bad practice in general
  • If just estimating means: mean imputation preserves the mean of the observed data
  • Leads to an underestimate of the standard deviation
  • Distorts relationships between variables by “pulling” estimates of the correlation toward zero

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