Tag: measures of dispersion and skewness

Questions Related to measures of dispersion and skewness

What will be the relative range, if the spread of items in a given distribution lies between $100$ and $180$kg?

  1. $0.5$

  2. $0.4$

  3. $0.3$

  4. $0.55$


Correct Option: C

An index is at 100 in 1991. It rises 5% in 1992, falls 6% in 1993,falls 5% in 1994, rises 4% in 1995 and 7% in 1996.The index numbers for all these years with 1991 as base are _______.

  1. 100, 105, 94, 105, 95, 107

  2. 100, 105, 94, 105, 107, 95

  3. 100, 105, 94, 107, 95, 94

  4. 100, 105, 94, 95, 104, 107


Correct Option: D

The standard deviation of $5$ items is found to be $15$. What will be the standard deviation if the values of all the items are increased by $5$?

  1. $15$

  2. $20$

  3. $10$

  4. None of the above


Correct Option: A

The mean of $100$ observations is $18.4$ and sum of sqares of deviations from mean is $1444$, the Co-efficient of variation is ______.

  1. $30.6$

  2. $35.6$

  3. $20.6$

  4. $10.6$


Correct Option: C

The first quartile of the following observations is
$10, 19, 22, 16, 15, 18, 20, 18, 14, 18, 23$.

  1. $17.55$

  2. $18$

  3. $15$

  4. $20$


Correct Option: C

The following distribution of ages (in complete years) is obtained for the students of higher secondary.
The mode of the distribution is.

Age (in years) 15 16 17 18 19 20 21
Number of students 12 18 20 10 7 6 2





  1. $16$

  2. $17$

  3. $18$

  4. None of them


Correct Option: B

The median for the following distribution is

X 2 3 4 5 6 7 8 9 10 11
Y 3 6 9 18 20 14 10 10 7 2



  1. $6$

  2. $5$

  3. $8$

  4. $9$


Correct Option: A

The mean of $25$ observations is $73.408$. If one observation $64$ is removed, the revised mean is ______.

  1. $72.8$

  2. $73.8$

  3. $80.8$

  4. $76.8$


Correct Option: B

The correct relation between variance and standard deviation (S.D) of a variable X is _______.

  1. S.D = Var

  2. $S.D =[ Var(X)^{\frac{1}{2}}]$

  3. $S.D = [Var(x)]^2$

  4. None of the above


Correct Option: B
Explanation:

Standard deviation is the square root of the arithmetic mean of the squares of the deviations measured from the arithmetic mean of the data.

Variance is the mean of the squares of the deviations from the mean. 
Standard deviation is the square root of variance or variance is the square of standard deviation. 
S.D = {Var(X)}1/2 

or 
Var(X) = (S.D)2 

For comparison of two different series, the best measure of dispersion is _________.

  1. standard deviation

  2. range

  3. mean deviation

  4. coefficient of variation


Correct Option: D
Explanation:

Coefficient of variation is the coefficient of dispersion based on the standard deviation of the statistical series. The coefficient of standard deviation is calculated by dividing the standard deviation of the series by its mean and then multiplying it by 100. It is regarded as the best measure of dispersion to compare two different series because it is expressed in percentage.