Measures of Dispersion Trivia Quizzes for Practice

61. Mean deviation computed from a set of data is always:

1. Negative
2. Equal to standard deviation
3. More than standard deviation
4. Less than standard deviation

62. The average of squared deviations from mean is called:

1. Mean deviation
2. Variance
3. Standard deviation
4. Coefficient of variation

63. The sum of squares of the deviations is minimum, when deviations are taken from:

1. Mean
2. Mode
3. Median
4. Zero

64. Which of the following measures of dispersion is expressed in the same units as the units of observation?

1. Variance
2. Standard deviation
3. Coefficient of variation
4. Coefficient of standard deviation

65. Which measure of dispersion has a different unit other than the unit of measurement of values:

1. Range
2. Standard deviation
3. Variance
4. Mean deviation

66. Which of the following is a unit free quantity:

1. Range
2. Standard deviation
3. Coefficient of variation
4. Arithmetic mean

67. If the dispersion is small, the standard deviation is:

1. Large
2. Zero
3. Small
4. Negative

68. The value of standard deviation changes by a change of:

1. Origin
2. Scale
3. Algebraic signs
4. None

69. The standard deviation one distribution dividedly the mean of the distribution and expressing in percentage is called:

1. Coefficient of Standard deviation
2. Coefficient of skewness
3. Coefficient of quartile deviation
4. Coefficient of variation

70. The positive square root of the mean of the squares of the cleviations of observations from their mean is called:

1. Variance
2. Range
3. Standard deviation
4. Coefficient of variation

71. The variance is zero only if all observations are the:

1. Different
2. Square
3. Square root
4. Same

72. The standard deviation is independent of:

1. Change of origin
2. Change of scale of measurement
3. Change of origin and scale of measurement
4. Difficult to tell

73. If there are ten values each equal to 10, then standard deviation of these values is:

1. 100
2. 20
3. 10

74. S.D(X) = 6 and S.D(Y) = 8. If X and Yare independent random variables, then S.D(X-Y) is:

1. 2
2. 10
3. 14
4. 100

75. For two independent variables X and Y if S.D(X) = 1 and S.D(Y) = 3, then Var(3X - Y) is equal to:

1. 6
2. 18
3. 12