Probability

Introduction to Probability, Rules of Probability, Addition, Multiplication, and conditional probability, Bayes’ Theorem, Permutation and Combination

Important MCQs Probability Quiz Answers 7

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Online MCQs Probability Quiz Answers. The Quiz covers topics of rules of counting, events, and types of events such as mutually exclusive and exhaustive events, sample space, Rules of Probability, etc. Let us start with the MCQs Probability Quiz Answers.

Online MCQs about Probability with Answers

1. Three coins are tossed together, the sample will consist of ________ sample points.

 
 
 
 

2. When a pair of dice is rolled, the sample space consists of

 
 
 
 

3. Three coins are tossed, ______ is the probability of getting at least one head.

 
 
 
 

4. $^nC_r=$

 
 
 
 

5. In how many ways can 6 persons be seated on a sofa set with three seats?

 
 
 
 

6. Two events are called collectively exhaustive if $A\cup B=$

 
 
 
 

7. If $A \cap B=\phi$, then the events $A$ and $B$ are called

 
 
 
 

8. When a die and coin are rolled there are sample points.

 
 
 
 

9. The probability of an event cannot be

 
 
 
 

10. The probability of an event always lies between

 
 
 
 

11. If a coin is tossed thrice then the probability of three heads is

 
 
 
 

12. A coin is tossed three times in succession the number of sample points in the sample space is

 
 
 
 

13. If three cards are drawn from a pack of 52 cards, then sample space is

 
 
 
 

14. $^5P_1=$

 
 
 
 

15. In tossing two perfect coins the probability that at least one head will occur is

 
 
 
 

16. The sum of probabilities of all mutually exclusive events of an experiment will be

 
 
 
 

17. The number of ways in which four books can be arranged on a shelf is

 
 
 
 

18. When a coin is tossed, the sample space is

 
 
 
 

19. Number of ways a committee of 3 members can be selected from 5 members

 
 
 
 

20. Total number of ways when three fair dice are thrown

 
 
 
 

Online MCQs Probability Quiz Answers

  • In how many ways can 6 persons be seated on a sofa set with three seats?
  • The number of ways in which four books can be arranged on a shelf is
  • Number of ways a committee of 3 members can be selected from 5 members
  • $^nC_r=$
  • $^5P_1=$
  • Two events are called collectively exhaustive if $A\cup B=$
  • If $A \cap B=\phi$, then the events $A$ and $B$ are called
  • When a coin is tossed, the sample space is
  • A coin is tossed three times in succession the number of sample points in the sample space is
  • Three coins are tossed together, the sample will consist of ———- sample points.
  • When a die and coin are rolled there are sample points.
  • When a pair of dice is rolled, the sample space consists of
  • Total number of ways when three fair dice are thrown
  • If three cards are drawn from a pack of 52 cards, then sample space is
  • The probability of an event always lies between
  • The probability of an event cannot be
  • The sum of probabilities of all mutually exclusive events of an experiment will be
  • In tossing two perfect coins the probability that at least one head will occur is
  • If a coin is tossed thrice then the probability of three heads is
  • Three coins are tossed, ———- is the probability of getting at least one head.
MCQs Probability Quiz Answers

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Important Probability Online MCQs Test 6

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This Quiz contains Probability Online MCQs Test, events, experiments, mutually exclusive events, collectively exhaustive events, sure events, impossible events, addition and multiplication laws of probability, etc. Let us start the Probability Online MCQs Test with the Answers:

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Probability Online MCQs Test

Probability Online MCQs Test

  • In the context of probability, what is an outcome?
  • What is a probability?
  • How would you calculate the probability that a random variable is less than 5?
  • In the context of probability, what is a sample space?
  • What word describes two events that cannot occur at the same time?
  • What is the expected value?
  • What is conditional probability?
  • What is a continuous random variable?
  • What shows the exact probabilities for a particular value of a random variable?
  • How would you describe $P(A \cap B)$ in words for two sets $A$ and $B$?
  • How would you describe $P(A|B)$ in words for two sets $A$ and $B$?
  • What is a random variable?
  • $A$ and $B$ are two mutually exclusive events. The probability of $A$ happening is $\frac{1}{4}$. The probability of $BB$ happening is $\frac{1}{3}$. The probability of neither $A$ nor $B$ happening is?
  • The probability of an event happening is $\frac{1}{3}$. The probability of it not happening is?
  • A conditional probability might be found in which of the following ways?
  • A fair coin is tossed 50 times, and the expected number of heads is:
  • If $A$ and $B$ are dependent events, $P(A)=0.40$ and $P(B|A)=0.35$ then $P(A \cap B)$ is
  • $P(A\cap B() = P(A) P(B|A)$, then $A$ and $B$ are
  • The subset of a sample space is called
  • Events having an equal chance of occurrence are called

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Best Online Probability Quizzes

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This post contains MCQs about Online Probability Quiz, events, experiments, mutually exclusive events, collectively exhaustive events, sure events, impossible events, addition and multiplication laws of probability, etc. Let us start the MCQs Online Probability Quiz:

Online Probability Quiz

Probability MCQs Quiz Questions 13
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Online Quiz Probability

Probability is concerned with how events are likely to occur. It is a way of assigning a numerical value between 0 (impossible event) and 1 (sure event) to represent the chance of something happening. The higher the probability, the more likely the event.

Online Probability Quiz

Some of the important probability terms:

  • Event: An event is any outcome or set of outcomes from a random experiment.
  • Favorable Outcome: An outcome that satisfies the event one is interested in.
  • Independent Events: Events are considered independent if the outcome of one event does not affect the probability of the other event. For example, outcomes from Rolling a die and flipping a coin are independent events.
  • Dependent Events: Events are said to be dependent if the outcome of one affects the probability of the other. For example, drawing a card from a standard deck of cars and then drawing another card without replacing the first one is an example of dependent events.
Online Probability Quiz Central Limit Theorem

Probability and its computations are performed in many fields, including statistics, finance, gambling, and even artificial intelligence. Probability is a fundamental tool for making predictions and analyzing data under uncertainty.

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