Interquartile Range of Deviation Quiz Questions and Answers 1 PDF Download

Learn interquartile range of deviation quiz, online business statistics test 1 for distance learning, online courses. Free statistics MCQs questions and answers to learn interquartile range of deviation MCQs with answers. Practice MCQs to test knowledge on interquartile range of deviation with answers, classification: measures of dispersion, relative measure of skewness, squared deviation, mean absolute deviation, interquartile range of deviation test for online regression courses distance learning.

Free interquartile range of deviation online course worksheet has multiple choice quiz question: if quartile range is 24 then quartile deviation is with choices 48, 12, 24 and 72 with problems solving answer key to test study skills for online e-learning, formative assessment and jobs' interview preparation tips, study measures of dispersion multiple choice questions based quiz question and answers.

Quiz on Interquartile Range of Deviation Worksheet 1 Quiz PDF 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