Variance and Standard Deviation MCQs Quiz Online PDF Download

Variance and standard deviation MCQs, learn MBA business statistics online test prep for distance education, online courses. Practice measures of dispersion multiple choice questions (MCQs), variance and standard deviation quiz questions and answers. Career test prep on relationship: measures of deviation, classification: measures of dispersion, squared deviation, mean absolute deviation, interquartile range of deviation aptitude test for online normal distribution courses distance learning.

Study measures of dispersion aptitude test MCQs if total sum of square is 20 and sample variance is 5 then total number of observations are, for free online business management courses with choices 15, 25, 4, 35 with online eLearning for online competitions like GMAT study test for good GMAT scores. Free skills assessment test is for online learning variance and standard deviation quiz questions with MCQs, exam preparation questions and answers to prepare entrance exam for admission in MBA degree online.

MCQs on Variance and Standard DeviationQuiz PDF Download

MCQ: If total sum of square is 20 and sample variance is 5 then total number of observations are

  1. 15
  2. 25
  3. 4
  4. 35

C

MCQ: In manufacturing company, number of employees in unit A is 40, mean is USD $6400 and number of employees in unit B is 30 with mean of Rs. 5500 then combined arithmetic mean is

  1. 9500
  2. 8000
  3. 7014.29
  4. 6014.29

D

MCQ: If calculated value of total sum of squares in sample variance is larger than variation in data set is considered as

  1. smaller
  2. greater
  3. zero
  4. negative

B

MCQ: Undesirable consequences which causes estimated population variance to appear less as compared to real results are classified as

  1. undesired error
  2. bias
  3. non-calculate error
  4. non-zero error

B

MCQ: Formula in which Σ(x-x‾)² is divided by one less than number of observations in sample is classified as

  1. coefficient of deviation
  2. mean variance
  3. sample variance
  4. population variance

C