Measures of Dispersion MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Measures of Dispersion, a fundamental topic in the field of Business Statistics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Measures of Dispersion MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Measures of Dispersion mcq questions that explore various aspects of Measures of Dispersion problems. Each MCQ is crafted to challenge your understanding of Measures of Dispersion principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Business Statistics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Measures of Dispersion MCQs are your pathway to success in mastering this essential Business Statistics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Measures of Dispersion. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Measures of Dispersion knowledge to the test? Let's get started with our carefully curated MCQs!

Measures of Dispersion MCQs | Page 4 of 10

Discover more Topics under Business Statistics

Q31.
According to empirical rule, the standard deviation and mean interval that covers approximately 99.75% of data from a frequency distribution is

a.

4ฮผ±4ฯƒ

b.

3ฮผ±3ฯƒ

c.

ฮผ±3ฯƒ

d.

2ฮผ±2ฯƒ

Discuss
Answer: (c).ฮผ±3ฯƒ
Q32.
The theorem which states least percentage of values that fall within z-standard deviations is classified as

a.

Chebyshev's Theorem

b.

sampling theorem

c.

Pearson Theorem

d.

population theorem

Discuss
Answer: (a).Chebyshev's Theorem
Q33.
The categories of measures of dispersion are classified as

a.

uniform measures

b.

relative measures

c.

absolute measures

d.

both b and c

Discuss
Answer: (d).both b and c
Q34.
The population variance is also called

a.

sigma squared

b.

negative sigma

c.

square root

d.

cubic root

Discuss
Answer: (a).sigma squared
Q35.
The lesser uniformity of 50% observations around the median value is indicated with the help of

a.

larger value of range deviation

b.

smaller value of range deviation

c.

larger value of quartile deviation

d.

smaller value of quartile deviation

Discuss
Answer: (c).larger value of quartile deviation
Q36.
If the large number of values lies in the central part of data table then the spread of values is measured by

a.

percentile range

b.

inter quartile range

c.

quartile range

d.

deciles range

Discuss
Answer: (b).inter quartile range
Q37.
The formula which considers the relationship between set of observations, standard deviation and mean is classified as

a.

empirical value

b.

three way rule

c.

normal rule

d.

both a and c

Discuss
Answer: (d).both a and c
Q38.
If the calculated value of total sum of squares in sample variance is larger than the variation in data set is considered as

a.

smaller

b.

greater

c.

zero

d.

negative

Discuss
Answer: (b).greater
Q39.
The standard deviation of data is 12 and the mean is 72 then coefficient of variation is

a.

14.67%

b.

16.67%

c.

12.67%

d.

13.67%

Discuss
Answer: (b).16.67%
Q40.
The value of third quartile is 61 and inter quartile range of the set of observation is 48 then value of first quartile is

a.

24

b.

34

c.

64

d.

13

Discuss
Answer: (d).13
Page 4 of 10