What is the biggest disadvantage of summarizing the dispersion of a dataset with the variance?
Question 1 options:
The variance is sometimes twice the range.
The variance is always twice the range.
The units are in the original form.
The units are squared.
The value cannot be negative.
The value always contains outliers.
None of these
Under which of the following circumstances would a sample variance be zero?
Question 2 options:
If the mean was zero
If the mean, median and mode were the same number
Variance can never be zero
None of these
If exactly half of the values were above the mean and half below the mean
If all the values in the sample were the same
If the variance of a dataset is correctly computed with the formula using (n – 1) in the denominator, which of the following is true?
