This Quiz contains Multiple Choice Questions about Probability Quiz, events, experiments, mutually exclusive events, collectively exhaustive events, sure events, impossible events, addition and multiplication laws of probability, discrete probability distribution, continuous probability distributions, etc. Let us start the Probability Quiz with Answers:
Online MCQs Probability Quiz with Answers
Online MCQs Probability Quiz
- Which of the following is not a correct statement about a probability
- The collection of one or more outcomes from an experiment is called
- If the occurrence of one event means that another cannot happen, then the events are
- In which approach to probability the outcomes are equally likely to occur?
- In the special rule of addition of probability, the events are always
- The joint probability is
- The special rule of multiplication of probability, the events must be
- A listing of the possible outcomes of an experiment and their corresponding probability is called
- Which of the following is not an example of a discrete probability distribution?
- Which of the following is not a condition of the binomial distribution?
- In a Poisson probability distribution
- If a card is chosen from a standard deck of cards, what is the probability of getting a five or a seven?
- If you roll a pair of dice, what is the probability that (at least) one of the dice is a 4 or the sum of the dice is 7?
- If a card is chosen from a standard deck of cards, what is the probability of getting a diamond (♦) or a club(♣)?
- The probability of occurrence of an event lies between
- The tail or head, one or zero, and girl and boy are examples of
- If $P(E)$ is the probability that an event will occur, which of the following must be false?
- The addition rule states that, if the events $A$ and $B$ are __, then the probability of $A$ or $B$ happening is the sum of the probabilities of $A$ and $B$.
- Objective probability is based on personal feeling, experience, or judgment.
- The probability of no snow equals 1 minus the probability of snow. This is an example of what rule of probability?