Multiplication theorem of probability is applicable for :Group of answer choicesIndependent eventsMutually exclusive eventsConditional eventsExhaustive events
Question
Multiplication theorem of probability is applicable for :Group of answer choicesIndependent eventsMutually exclusive eventsConditional eventsExhaustive events
Solution
The multiplication theorem of probability is applicable for independent events.
Here's a step-by-step explanation:
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Understanding the Multiplication Theorem of Probability:
- The multiplication theorem of probability states that for two independent events, the probability of both events occurring together (i.e., the intersection of the two events) is the product of their individual probabilities.
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Definition of Independent Events:
- Two events are considered independent if the occurrence of one event does not affect the occurrence of the other event. In other words, the probability of one event happening remains unchanged regardless of whether the other event happens or not.
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Mathematical Representation:
- If and are two independent events, then the probability of both and occurring is given by:
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Application to Other Types of Events:
- Mutually Exclusive Events: These are events that cannot occur simultaneously. For mutually exclusive events and , , so the multiplication theorem does not apply.
- Conditional Events: These are events where the probability of one event depends on the occurrence of another event. The multiplication theorem for conditional events is different and involves conditional probabilities.
- Exhaustive Events: These are events that cover all possible outcomes of an experiment. The multiplication theorem is not specifically related to exhaustive events.
Therefore, the correct answer is independent events.
Similar Questions
The addition theorem is applicable for :Group of answer choicesMutually exclusive eventsExhaustive eventsConditional eventsIndependent events
Unconditional probability is also called as :Group of answer choicesMarginal probabilityRelative probabilityConditional probabilityJoint probability
Let A and B be mutually exclusive events. Which of the following is always TRUE for these events?Group of answer choicesP(A and B) = P(A) x P(B)P(A or B) = P(A) + P(B)P(A or B) = P(A) + P(B) - P(A) x P(B)all of the above are always true
Multiple Choice QuestionWhat do we refer to events which include all outcomes in the sample space?Multiple choice question.InclusiveSimpleMutually exclusiveExhaustive
Which of the following statements best describes the multiplication rule of probability?a.It states that the probability of two independent events occurring together is the product of their individual probabilities.b.It states that the probability of two mutually exclusive events occurring together is the sum of their individual probabilities.c.It states that the probability of two dependent events occurring together is the sum of their individual probabilities.d.It states that the probability of two exclusive events occurring together is the difference of their individual probabilities.
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