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Type of distribution, which describes whether events to be occurred are mutually exclusive or collectively exhaustive can be classified as

Type of distribution, which describes whether events to be occurred are mutually exclusive or collectively exhaustive can be classified as Correct Answer probability distribution

Type of distribution, which describes whether events to be occurred are mutually exclusive or collectively exhaustive can be classified as probability distribution. A probability distribution is a list of all of the possible outcomes of a random variable along with their corresponding probability values. To give a concrete example, here is the probability distribution of a fair 6-sided die.

Related Questions

A and B are two events. A and B are their complement events, respectively, such that AB and AB are two mutually exclusive and exhaustive events in which the event A can occur. Then which option is correct?
Which of the following statements are true?
1. The classical approach to probability theory requires that the total number of possible outcomes be known or calculated and that each of the outcomes be equally likely.
2. A marginal probability is also known as unconditional probability.
3. For three independent events, the joint probability of the three events, P (ABC) = P (A) × P (B/A) × P (C/AB)
4. Two events are mutually exclusive, exhaustive and equally likely, the probability of either event A or B or both occurring P(A or B) = P(A) + P(B)
Consider the following statements: 1. Two events are mutually exclusive if the occurrence of one event prevents the occurrence of the other. 2. The probability of the union of two mutually exclusive events is the sum of their individual probabilities. Which of the above statements is/are correct?
For calculating posterior probabilities (conditional probabilities under statistical dependence), the following information is available  a) conditional probabilities  b) original probability estimates (prior probabilities) of mutually exclusive and collectively exhaustive events  c) Arbitrary event with probability
Consider the following statements: 1. If A and B are exhaustive events, then their union is the sample space. 2. If A and B are exhaustive events, then their intersection must be an empty event. Which of the above statements is / are correct?
Which of the following are correct about complementary events? (A) Mutually exclusive (B) Independent (C) Such that their probabilities add up to 1. (D) Collective exhaustive. Choose the most appropriate answer from the options given below:
In a competition A, B and C are participating. The probability that A wins is twice that of B, the probability that B wins is twice that of C. Then the probability that A loses is (A, B and C are mutually exclusive and exhaustive events)
If A1, A2 . . . . . . . . An are 'n' mutually exclusive and exhaustive events and B is a common event, then Baye's theorem deals with
Consider the following statements in respect of class intervals of grouped frequency distribution: 1. Class intervals need not be mutually exclusive. 2. Class intervals should be exhaustive. 3. Class intervals need not be of equal width. Which of the above statements are correct? 
Vikash threw dice 25 times and noted the number appearing each time as shown below: 2, 3, 1, 2, 4, 5, 4, 3, 6, 2, 3, 1, 6, 3, 4, 6, 1, 3, 2, 6, 3, 5, 6, 3, 4 The tally table of the above data will be (A)  Digits of dice occurred Tally marks 1 ||| 2 |||| 3 |||| || 4 |||| 5 || 6 |||| (B)  Digits of dice occurred Tally marks 1 ||||  2 ||| 3 |||| | 4 |||  5 || 6 |||| (C)  Digits of dice occurred Tally marks 1 |||| | 2 || 3 |||| | 4 |||| 5 || 6 |||| (D)  Digits of dice occurred Tally marks 1 |||| | 2 |||| 3 |||| || 4 ||||  5 ||| 6 ||||