Which of the following statements is (are) true about variance?Multiple select question.Variance is a measure of the squared deviations of a security's return from its expected return.Standard deviation is the square root of variance.Variance measures a security's expected return over many periods.Computation of variance requires the use of a computer.Need help? Review these concept res

Which of the following statements about variance is the most accurate?Multiple ChoiceVariance is the square root of the standard deviation.Variance is the average of the squared deviations from the mean.Variance can be both, positive or negative.Variance is denominated in the same units as the original data.

Which of the following statements is true?Group of answer choicesThe sum of the deviations from each value in a data set to the mean, is always zero.The sum of the squared deviations from the mean is always zero.The standard deviation is in squared units.The standard deviation is always greater than the variance.

Which of the following is true about variance?Group of answer choicesIt measures the uncertainty of a random variableHigher variance implies low uncertainty.It is the square root of a random variable's standard deviationIt is the weighted average of all possible outcomes.

How is the standard deviation related to the variance of a data set? It is the square of the variance It is the square root of the variance It is half the variance It is twice the variance

The variance is:a. The square root of the sum of squared deviations from the meanb. The average of squared deviations from the meanc. The average of absolute deviations from the meand. The square of the standard deviation