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Relative Measure of Skewness MCQ with Answers PDF

Relative Measure of Skewness Multiple Choice Questions (MCQ), Relative Measure of Skewness quiz answers PDF with business statistics live worksheets for online degrees. Solve skewness, kurtosis and moments Multiple Choice Questions and Answers (MCQs), Relative Measure of Skewness quiz questions for online BBA courses. Relative Measure of Skewness Interview Questions PDF: relative measure of skewness, statistical measures, skewness and skewed distribution test prep for business administration bachelor degree online.

"If for a distribution the difference of first quartile and median is greater than difference of median and third quartile then the distribution is classified as" MCQ PDF on relative measure of skewness with choices absolute open ended, positively skewed, negatively skewed, and not skewed at all for online BBA courses. Solve relative measure of skewness quiz questions for merit scholarship test and certificate programs for best online business management degree.

MCQs on Relative Measure of Skewness Quiz

MCQ: If for a distribution the difference of first quartile and median is greater than difference of median and third quartile then the distribution is classified as

absolute open ended
positively skewed
negatively skewed
not skewed at all

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

lower tail
upper tail
close end tail
open end tail

MCQ: The method of calculating skewness which is based on the positions of quartiles and median in a distribution is called

Gary's coefficient of skewness
Sharma's coefficient of skewness
Bowley's coefficient of skewness
Jack Karl's coefficient of skewness

MCQ: The median of a moderately skewed distribution is 8, third quartile is 12, first quartile is 8 and inter-quartile range is 4 then relative coefficient of skewness is

±8
±1
±9
±11

MCQ: For the Karl Pearson's skewness coefficient the value of skewness must be in limits

±3
±5
±4
±2