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Measurements in Statistics Quiz Questions and Answers PDF Download eBook

Measurements in Statistics quiz questions and answers, measurements in statistics MCQs with answers PDF 97 to practice statistics mock tests for online graduate programs. Practice Measures of Central Tendency quiz questions with answers, measurements in statistics Multiple Choice Questions (MCQ) to practice statistics test with answers for online university degrees. Free measurements in statistics MCQs, continuous probability distribution, poisson distribution, kurtosis in business statistics, relationship: measures of deviation, measurements in statistics test prep for online business and administration degree.

"The numerical value which shows the tendency around central value of cluster is classified as", measurements in statistics Multiple Choice Questions (MCQ) with choices cluster tendency, central tendency, group tendency, and numerical tendency for online masters in business degree. Learn measures of central tendency questions and answers to improve problem solving skills for online bachelor's degree in business administration.

Quiz on Measurements in Statistics PDF Download eBook

Measurements in Statistics Quiz

MCQ: The numerical value which shows the tendency around central value of cluster is classified as

  1. central tendency
  2. cluster tendency
  3. group tendency
  4. numerical tendency

A

Relationship: Measures of Deviation Quiz

MCQ: The quartile deviation for number of X-ray patients who visits orthopedic in 7 consecutive days is 14 then mean absolute deviation is

  1. 18.8
  2. 15.8
  3. 10.8
  4. 16.8

D

Kurtosis in Business Statistics Quiz

MCQ: In kurtosis, the frequency curve which is also classified as normal curve is called

  1. mega curve
  2. mesokurtic
  3. leptokurtic
  4. platykurtic

B

Poisson Distribution Quiz

MCQ: The formula of calculating the variance for negative binomial distribution is

  1. rq ⁄ p²
  2. pq ⁄ r²
  3. rp ⁄ q²
  4. rq ⁄ p

A

Continuous Probability Distribution Quiz

MCQ: In the normal distribution, the normal curve becomes more wider and more flatter because of

  1. small value of variance
  2. large value of variance
  3. large value of standard deviation
  4. small value of standard deviation

C