Introduction to Probability Multiple Choice Questions 1 PDF Download

Learn introduction to probability multiple choice questions (MCQs), mastering business statistics test 1 for online learning, course exam prep. Practice probability experiments MCQs, introduction to probability questions and answers on probability experiments, multiplication rules of probability, relative frequency, types of events test for online data in statistics courses distance learning.

Free online introduction to probability quiz, self-study student guide has multiple choice question: way of getting information from measuring observation whose outcomes occurrence is on chance is called with options random experiment , beta experiment , alpha experiment and gamma experiment with online tutorial questions and answers for online university's class tests with exam papers important questions. Study to learn online probability experiments quiz questions with statistics MCQs to prepare admission test for admission in 1 year MBA program.

MCQ on Introduction to Probability Test 1 Quiz PDF Download

MCQ: Way of getting information from measuring observation whose outcomes occurrence is on chance is called

  1. beta experiment
  2. random experiment
  3. alpha experiment
  4. gamma experiment

B

MCQ: Probability of second event in situation if first event has been occurred is classified as

  1. series probability
  2. conditional probability
  3. joint probability
  4. dependent probability

B

MCQ: Probability which is based on self-beliefs of persons involved in experiment is classified as

  1. subjective approach
  2. objective approach
  3. intuitive approach
  4. sample approach

A

MCQ: In probability theories, events which can never occur together are classified as

  1. collectively exclusive events
  2. mutually exhaustive events
  3. mutually exclusive events
  4. collectively exhaustive events

C

MCQ: Joint probability of independent events J and K is equal to

  1. P(J) * P(K)
  2. P(J) + P(K)
  3. P(J) * P(K) + P(J-K)
  4. P(J) * P(K) - P(J * K)

A