a) This statement is FALSE. If mean is a good measure of central tendency, then the variance should be minimum. Smaller the variance, better the measure of central tmedency.
b) This statement is true. Covariance of X and Y is -1, and the presence of sum of squares in denominator will make the expression small. And hence weak negative correlation.
c) FALSE. Variance is square of Standard Deviation. Hence, Variance is greater than or equal to Standard Deviation always.
d) Partially true partially false. Correlation is greater than covariance only when covariance is negative. Otherwise, Correlation is less rhan Covariance.
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