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BBA Business Statistics MCQs (BBA Business Administration) From Textbook

BBA Business Statistics MCQs – Mock Test 94

Uniform Distribution MCQs with Answers PDF Download – Test 94

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Study Uniform Distribution Multiple Choice Questions (MCQ) with Answers PDF for digital business insights. Download the Uniform Distribution MCQs PDF e-Book, Ch. 7-94 to learn BBA Business Statistics Practice Tests. Learn Probability Distributions quiz answers PDF, Uniform Distribution Multiple Choice Questions (MCQ Quiz) for BBA research projects. Download the Uniform Distribution Learning App: Free BBA Business Statistics MCQ App to learn uniform distribution, learning business statistics, confidence interval estimation, data tables and types test prep to excel BBA analytics.

Free "Uniform Distribution Learning" App Download (Android & iOS): Formula of variance of uniform or rectangular distribution is as; MCQ with answers: (b + a)² ⁄ 12, (b - a)² ⁄ 6, (b + a)² &frasl 2, and (b - a)³ ⁄ 8. Practice Probability Distributions Questions and Answers, Google Book to download free chapter for digital business insights.

Uniform Distribution MCQs – Mock Test 94 PDF Download

MCQ 466: The formula of variance of uniform or rectangular distribution is as:

  1. (b - a)² ⁄ 6
  2. (b + a)² ⁄ 12
  3. (b - a)³ ⁄ 8
  4. (b + a)² ⁄ 2

MCQ 467: For quality improvements, the philosophy which acts like a guide and provides solid foundation is classified as:

  1. management philosophy
  2. statistical philosophy
  3. serial philosophy
  4. parallel philosophy

MCQ 468: In confidence interval estimation, the formula of calculating confidence interval is:

  1. point estimate * margin of error
  2. point estimate ± margin of error
  3. point estimate - margin of error
  4. point estimate + margin of error

MCQ 469: The curve of cumulative frequency is also known as:

  1. Ogive
  2. A-give
  3. C-give
  4. B-give

MCQ 470: The difference between value of parameter of population and value of unbiased estimator point is classified as:

  1. sampling error
  2. marginal error
  3. confidence error
  4. population error

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