Assertion (A): The probabilty of not winning a game is 0.4 and winning a game is 0.6
Reason ®: P(E) + P(not E)=1.
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Both A and R are true and R is the correct explanation of the A .
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Assertion : The probabilty of not winning a game is 0.4 and winning a game is 0.6.
Reason : P(E) + P(not E) = 1
- Probability is the branch of mathematics dealing with numerical description of how likely an event is to occur.
- In short, probability is the mathematical tool to understand the uncertainty of events.
- It is the ratio of favourable outcomes to total outcomes.
∵ P(E) = n(E)/n(S)
but n(E) + n(not E) = n(S)
[ It is obvious that total outcomes is the sum of favourable outcomes and unfavorable outcomes, isn't it ? ]
⇒n(E)/n(S) + n(not E)/n(S) = 1
⇒P(E) + P(not E) = 1
so reason is true.
The probability of not winning a game, P(not E) = 0.4
and probability of winning a game , P(not E) = 0.6
here , P(E) + P(not E) = 0.4 + 0.6 = 1
you see, the Assertion is also true.
hence assertion and reason both are true, and reason is correct explanation of assertion.
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