Interquartile Range of Deviation Quiz Questions & Answers Online 1 PDF eBook Download

Practice interquartile range of deviation quiz, interquartile range of deviation MCQs with answers, MBA business statistics test prep 1 for online data analytics certification courses. Learn measures of dispersion quiz questions and answers, interquartile range of deviation multiple choice questions and answers (MCQ) to practice statistics test with answers for online university degrees. Free interquartile range of deviation MCQs, classification: measures of dispersion, relative measure of skewness, squared deviation, mean absolute deviation, interquartile range of deviation test prep for BA in business administration.

Learn interquartile range of deviation MCQ with multiple choice questions: if quartile range is 24 then quartile deviation is, with choices 48, 12, 24, and 72 for online business administration degree. Learn measures of dispersion questions and answers to improve problem solving skills for online business management degree programs.

Quiz on Interquartile Range of Deviation MCQs with Answers 1 PDF eBook Download

Interquartile Range of Deviation Quiz

MCQ: If quartile range is 24 then quartile deviation is

  1. 48
  2. 12
  3. 24
  4. 72


Mean Absolute Deviation Quiz

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

  1. 7.08
  2. 9.08
  3. 10.2
  4. 11.2


Squared Deviation Quiz

MCQ: Sum of all squared deviations is divided by total number of observations to calculate

  1. population deviation
  2. population variance
  3. sample deviation
  4. sample variance


Relative Measure of Skewness Quiz

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

  1. absolute open ended
  2. positively skewed
  3. negatively skewed
  4. not skewed at all


Classification: Measures of Dispersion Quiz

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

  1. non-relative measures
  2. relative measures
  3. high uniform measures
  4. low uniform measures