BBA Business Statistics Practice Test 6

Relative Measure of Skewness MCQ (Multiple Choice Questions) PDF - 6

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Free Relative Measure of Skewness Multiple Choice Questions and Answers (MCQs) PDF Download (Relative Measure of Skewness MCQs PDF Book), chapter 9-6 to learn online statistics degree courses. Study Skewness, Kurtosis and Moments quiz answers PDF, relative measure of skewness Multiple Choice Questions (MCQ Quiz) for online college degrees. Free educational app: Relative Measure of Skewness MCQs App Download & e-Book for relative measure of skewness, calculating moments, interquartile range of deviation, standard normal probability distribution, types of events test prep for online schools for business degrees.

The MCQs: If the first quartile and third quartile are as 32 and 35 respectively with the median of 20 then distribution is skewed to; "Relative Measure of Skewness" App Download (iOS & Android) Free with answers upper tail, lower tail, close end tail and open end tail for online business bachelor degree. Practice skewness, kurtosis and moments questions and answers, Google eBook to download free sample for colleges that offer business administration.

Relative Measure of Skewness Questions and Answers PDF Download: Quiz 6

MCQ 26: If the first quartile and third quartile are as 32 and 35 respectively with the median of 20 then distribution is skewed to

A) lower tail

B) upper tail

C) close end tail

D) open end tail

MCQ 27: If the beta one is 9, beta two is 11 then coefficient of skewness is

A) 0.589

B) 0.689

C) 0.489

D) 0.889

MCQ 28: If the value of first quartile is 49 and the value of third quartile is 60 then value of inter quartile range is

A) 21

B) 31

C) 11

D) 41

MCQ 29: The formula to calculate standardized normal random variable is

A) x - μ ⁄ σ

B) x + μ ⁄ σ

C) x - σ ⁄ μ

D) x + σ ⁄ μ

MCQ 30: In probability theories, the events which can never occur together are classified as

A) collectively exclusive events

B) mutually exhaustive events

C) mutually exclusive events

D) collectively exhaustive events

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