# Relative Measure of Skewness Quiz Questions and Answers 6 PDF Book Download

Relative measure of skewness quiz questions, relative measure of skewness MCQs answers, MBA business statistics quiz 6 to learn business analytics online courses. Skewness, kurtosis and moments quiz questions, relative measure of skewness multiple choice questions (MCQs) to practice statistics test with answers for online colleges and universities courses. Learn relative measure of skewness MCQs, standard normal probability distribution, interquartile range of deviation, calculating moments, relative measure of skewness test prep for business analyst certifications.

Learn relative measure of skewness test with multiple choice question (MCQs): if first quartile and third quartile are as 32 and 35 respectively with median of 20 then distribution is skewed to, with choices lower tail, upper tail, close end tail, and open end tail for masters in management. Learn skewness, kurtosis and moments questions and answers for problem-solving, merit scholarships assessment test for business administration certifications.

## Quiz on Relative Measure of Skewness Worksheet 6Quiz Book Download

Relative Measure of Skewness Quiz

MCQ: If first quartile and third quartile are as 32 and 35 respectively with median of 20 then distribution is skewed to

- lower tail
- upper tail
- close end tail
- open end tail

A

Calculating Moments Quiz

MCQ: If beta one is 9, beta two is 11 then coefficient of skewness is

- 0.589
- 0.689
- 0.489
- 0.889

B

Interquartile Range of Deviation Quiz

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

- 21
- 31
- 11
- 41

C

Standard Normal Probability Distribution Quiz

MCQ: Formula to calculate standardized normal random variable is

- x - μ ⁄ σ
- x + μ ⁄ σ
- x - σ ⁄ μ
- x + σ ⁄ μ

A

Types of Events Quiz

MCQ: In probability theories, events which can never occur together are classified as

- collectively exclusive events
- mutually exhaustive events
- mutually exclusive events
- collectively exhaustive events

C