# Introduction to Probability Multiple Choice Questions and Answers PDF eBook Download

Learn introduction to probability Multiple Choice Questions and Answers (MCQs), introduction to probability quiz answers pdf 1, business statistics tests to study online certificate courses. Practice probability experiments MCQs, "introduction to probability" quiz questions and answers for admission and merit scholarships test. Learn probability experiments, multiplication rules of probability, relative frequency, types of events career test for online business and administration degree.

"The way of getting information from measuring the observation whose outcomes occurrence is on chance is called" Multiple Choice Questions (MCQs) on introduction to probability with choices *random experiment, beta experiment, alpha experiment, and gamma experiment* for online colleges for business management. Practice jobs' assessment test, online learning probability experiments quiz questions for online bachelor's degree in business administration.

## MCQs on Introduction to Probability Quiz 1 PDF eBook Download

MCQ: The way of getting information from measuring the observation whose outcomes occurrence is on chance is called

- beta experiment
- random experiment
- alpha experiment
- gamma experiment

B

MCQ: The probability of second event in the situation if the first event has been occurred is classified as

- series probability
- conditional probability
- joint probability
- dependent probability

B

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

- subjective approach
- objective approach
- intuitive approach
- sample approach

A

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

- collectively exclusive events
- mutually exhaustive events
- mutually exclusive events
- collectively exhaustive events

C

MCQ: The joint probability of the independent events J and K is equal to

- P(J) * P(K)
- P(J) + P(K)
- P(J) * P(K) + P(J-K)
- P(J) * P(K) - P(J * K)

A