Measures of Variability Quiz Questions and Answers 135 PDF Book Download

Measures of variability quiz, measures of variability MCQs answers, MBA statistics quiz 135 to learn online data analytics courses. Descriptive statistics numerical measures quiz questions and answers, measures of variability multiple choice questions (MCQ) to practice statistics test with answers for college and university courses. Learn measures of variability MCQs, statistical analysis, population mean, measures of location, measures of variability test prep, career test for data analytics certification.

Practice measures of variability career test with multiple choice question (MCQs): a distribution in which values are scattered with equal difference from central point is known to be, with choices standard distribution, skewed distribution, symmetric distribution, and asymmetric distribution for online data analyst degree. Learn descriptive statistics numerical measures questions and answers for scholarships exams' problem-solving, assessment test.

Quiz on Measures of Variability Worksheet 135 Download PDF

Measures of Variability Quiz

MCQ: A distribution in which values are scattered with equal difference from central point is known to be

  1. Standard distribution
  2. Skewed distribution
  3. Symmetric distribution
  4. Asymmetric distribution


Measures of Location Quiz

MCQ: Mode value of a data set having observations repeated for same number of time is equals to

  1. 0
  2. 1
  3. Undefined
  4. Inexact


Population Mean Quiz

MCQ: If value of coefficient of determination (r² ) is equal to 0, it means

  1. Error-prone
  2. No relationship
  3. No error
  4. Perfect fit


Statistical Analysis Quiz

MCQ: Coefficient of variance can be computed through division of

  1. Standard deviation with mean
  2. Standard deviation with median
  3. Sample variance with mean
  4. Sample variance with median


Population Mean Quiz

MCQ: Considering model y=e⊃B1 +X⊃B2, model is said to be

  1. Linear model
  2. Linear in parameters, non-linear variables
  3. Non linear parameters
  4. Non-Linear in parameters, non-linear variables