Measures of Dispersion
Measures of Dispersion: Overview
This topic covers concepts such as Measure of Dispersion, Range as Measure of Dispersion, Merits and Demerits of Range As Measure of Dispersion, Mean Deviation, Mean Deviation for Ungrouped Distribution (An Individual Series), etc.
Important Questions on Measures of Dispersion
In a Poisson distribution, . Given that . Then is -

If is a Poisson random variable such that , then the variance of is -

For a normal curve, the greatest ordinate is

If Quartile deviation is , then value of standard deviation will be:

If Quartile deviation is , then value of standard deviation will be:

Find the coefficient of mean deviation from median of observations .

Comparison the following frequency distributions with same mean:
and be the mean and standard deviation of the first distribution,
and be the mean and standard deviation of the second distribution.

Comparison the following frequency distributions with same mean:
and be the mean and standard deviation of the first distribution,
and be the mean and standard deviation of the second distribution.

Comparison the following frequency distributions with same mean:
4 and 6 be the mean and standard deviation of the first distribution,
4 and 7 be the mean and standard deviation of the second distribution.

Which measure of dispersion is most affected by extreme values?


If the variance of a frequency distribution be and standard deviation be then

Variance of a frequency distribution is and coefficient of variation is ; average of that frequency distribution is

If and variance of is then standard deviation of is

If the variables and are related by , then

Mean deviation about the median of is

A statistics of weekly payment to the workers in two firms and gives the following :
Farm | Farm | |
No. of workers | ||
Average pay | ||
Variance of distribution of payments |

The mode of model is .
Life(No.of years) | |||||||
Refrigerator | Model |

Which of the following is a relative measure of dispersion?

The square root of variance of a distribution is known as
