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Measures of Dispersion Online Exam Quiz

Important questions about Measures of Dispersion. Measures of Dispersion MCQ questions with answers. Measures of Dispersion exam questions and answers for students and interviews.

If the quartile range is 24 then the quartile deviation is


A : a. 48

B : b. 12

C : c. 24

D : d. 72

If mean absolute deviation of set of observations is 8.5 then value of quartile deviation is


A : a. 7.08

B : b. 9.08

C : c. 10.2

D : d. 11.2

The sum of all the squared deviations is divided by the total number of observations to calculate


A : a. population deviation

B : b. population variance

C : c. sample deviation

D : d. sample variance

For the recorded observation, the ratios measured by absolute variation are considered as


A : a. non-relative measures

B : b. relative measures

C : c. high uniform measures

D : d. low uniform measures

If the arithmetic mean is multiplied to coefficient of variation then the resulting value is classified as


A : a. coefficient of deviation

B : b. coefficient of mean

C : c. standard deviation

D : d. variance

If the arithmetic mean is considered as average of deviations then resultant measure is considered as


A : a. close end deviation

B : b. mean absolute deviation

C : c. mean deviation

D : d. variance deviation

If the positive square root is taken of population variance then the calculated measure is transformed into


A : a. standard root

B : b. standard deviation

C : c. standard variance

D : d. sample variance

The examples of applications of range in real world includes


A : a. weather forecasts

B : b. quality control

C : c. fluctuation in share prices

D : d. all of above

The formula of coefficient of range is


A : a. L+L?H+H

B : b. H+H?L+L

C : c. H-L?H+L

D : d. H+l?H-L

In a set of observations, the amount of variation can be shown in the form of figures with the help of


A : a. absolute measures

B : b. uniform measures

C : c. non-uniform measures

D : d. exploratory measures

If the value of first quartile is 49 and the value of third quartile is 60 then value of inter quartile range is


A : a. 21

B : b. 31

C : c. 11

D : d. 41

If total sum of square is 20 and the sample variance is 5 then total number of observations are


A : a. 15

B : b. 25

C : c. 4

D : d. 35

If the set of observations is 11, 13, 15, 12, 16, 18, 19, 14, 20, 17 and absolute mean deviation is 12 then the percentage of coefficient of mean absolute deviation is


A : a. 47.41%

B : b. 57.41%

C : c. 67.41%

D : d. 77.41%

The variability which is defined as the difference between third and first quartile is considered as


A : a. quartile range

B : b. deciles range

C : c. percentile range

D : d. inter quartile range

The mean of squared deviations which is calculated from arithmetic mean is called


A : a. mean square average

B : b. standard square average

C : c. population average

D : d. sample square average

The measure of distance which is greatly influenced by extreme values in data is considered as


A : a. range

B : b. average

C : c. positive uniformity

D : d. negative uniformity

The mean absolute deviation is 5 and the arithmetic mean is 110 then coefficient of mean absolute deviation is


A : a. 1.054

B : b. 0.045

C : c. 0.054

D : d. 0.064

The number of patients who visited the cardiologists are as 63, 57, 51, 65 in four days then the absolute mean deviation (approximately) is


A : a. 8 patents

B : b. 4 patients

C : c. 10 patients

D : d. 15 patients

In terms of dispersion difference, the measurement of dispersion for available data is classified as


A : a. average measures

B : b. distance measures

C : c. average deviation measures

D : d. availability measures

For the set of values, the percentage of values that lies within population mean plus four standard deviations of population is


A : a. 83.75%

B : b. 93.75%

C : c. 95%

D : d. 98.75%

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