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Measuring Dispersion MCQs Quiz Online PDF Download eBook

Solve Measuring Dispersion Multiple Choice Questions (MCQ), measuring dispersion quiz answers PDF worksheet, business statistics practice test for online degree programs. Learn measures of dispersion Multiple Choice Questions and Answers (MCQs), "Measuring Dispersion" quiz questions and answers for online business administration degree. Learn classification: measures of dispersion, average deviation measures, distance measures test prep for online degrees.

"The technique which implies in statistical process to measure the variation in data is called" Multiple Choice Questions (MCQ) on measuring dispersion with choices measures of dispersion, measures of statistics, measures of process, and none of above for online business administration degree. Practice measuring dispersion quiz questions for merit scholarship test and certificate programs for accredited online schools for business management.

MCQs on Measuring Dispersion PDF Download eBook

MCQ: The technique which implies in statistical process to measure the variation in data is called

  1. measures of dispersion
  2. measures of statistics
  3. measures of process
  4. none of above

D

MCQ: The measurement of inequality in wealth and income distribution is measured with the help of

  1. measurement of bimodaling
  2. measurement of outliers
  3. measurement of uniformity
  4. measurement of variability

D

MCQ: If the scatter or dispersion in the distribution is high on each side then this indicates

  1. outliers of data
  2. low uniformity of data
  3. high uniformity of data
  4. dispersion of data

B

MCQ: The technique used in measures of variations to show the direction of variation in set of observations is classified as

  1. measures of dispersion
  2. measures of statistics
  3. measures of skewness
  4. measures of process

C

MCQ: If the scatter or dispersion in the distribution is less on each side then this indicates

  1. high uniformity of data
  2. dispersion of data
  3. outliers of data
  4. low uniformity of data

A