Question: Which of the four methods for handling missing data would tend to lead to an underestimate of the spread (e.g., standard deviation) of the variable?

Which of the four methods for handling missing data would tend to lead to an underestimate of the spread (e.g., standard deviation) of the variable? What are some benefits to this method?

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The method for handling missing data that tends to lead to an underestimate of the spread eg standard deviation of the variable is mean imputation Mea... View full answer

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