Final answer:
The standard deviation is preferred over the variance because the units of variance are squared, making it difficult to interpret. The standard deviation is easier to calculate and provides a more accurate measure of the variability in a distribution. Option d
Step-by-step explanation:
The standard deviation is preferred over the variance for most applications because:
The units for the variance are always squared. This makes it difficult to interpret and compare with the original data, as the units are different.
The standard deviation is easier to calculate than the variance. It involves taking the square root of the variance, which simplifies the calculation.
The standard deviation more accurately measures the variability in a distribution. It tells us how spread out the data points are from the mean, providing a better understanding of the data's distribution. Option d