Analysis of Frequency Distributions

The coefficient of variation (C.V.) and the mean of a distribution are respectively $75$ and $44$. Then the standard deviation of the distribution is

If the numbers are $5,1,8,7,2$, then the coefficient of variation is

The mean of a distribution is $14$ and the standard deviation is $5$. What is the value of the coefficient of variation?

For a given distribution the arithmetic mean is $15$ and the standard deviation is $9$ then the coefficient of variation is equal to

The circular test is satisfied by

The time reversal test is satisfied by

A coefficient near $+1$ indicates tendency for the larger values of one variable to be associated with the larger values of the other.

Rank correlation coefficient lies between

The distribution, for which the coefficient of variation is less, is _____ consistent.

Coefficient of variation is a relative measure of

Coefficient of variation is independent of the unit of measurement.

Karl Pearson's measure gives

The coefficient of correlation when the coefficient of regressions are $0.4$ and $1.6$ is:

If the coefficient of variation is $45\%$ and the mean is $12$ then its standard derivation is

If the coefficient of variation and standard deviation are $60$ and $21$, respectively, then arithmetic mean of distribution is

Average of $10$ observations is $\overline{x}=50$ and sum of the square of deviations from it is $250$. Then coefficient of variation is

Variance of a frequency distribution is $4$ and coefficient of variation is $5\%$; average of that frequency distribution is

If the coefficients of variation of two distributions are $40$ and $20$ and their variances are $144$ and $64$ respectively, then the mean of their arithmetic means is

What is the formula for finding co-efficient of variation, given $\sigma =$ standard deviation and $\overline{x}=$mean $\ne 0?$

The mean of a distribution is $20$ and the standard deviation is $4$. What is the value of the coefficient variation?