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We generally prefer standard deviation to variance when we describe the variability of a data set, becuase

A) standard deviation is larger than the variance

B) the interpretation of standard deviation is more intuitive

C) Standard deviation can better estimate the population parameters

D) all of the above

1 Answer

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B) the interpretation of standard deviation is more intuitive

The standard deviation is preferred over variance because it is in the same units as the data, making it more intuitive and easier to interpret. Variance is the square of standard deviation, so its units are squared, making it less straightforward to understand in terms of the original data.