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Question: Consider \(5\) independent Bernoulli trials each with the probability of success \(p\). If the proba...

Consider 55 independent Bernoulli trials each with the probability of success pp. If the probability of at least one failure is greater than or equal to3132\dfrac{{31}}{{32}}, then pp lies in the interval:
A. (12,34](\dfrac{1}{2},\dfrac{3}{4}]
B. (34,1112](\dfrac{3}{4},\dfrac{{11}}{{12}}]
C. [0,12]\left[ {0,\dfrac{1}{2}} \right]
D. (1112,1](\dfrac{{11}}{{12}},1]

Explanation

Solution

In this question, we are given that probability of at least one failure is greater than or equal to3132\dfrac{{31}}{{32}}. So, we solve this equation that probability of at least one failure 3132 \geqslant \dfrac{{31}}{{32}}, using definition of Bernoulli trials.Bernoulli trial is the experiment with exactly two possible outcomes, success and failure and using basic probability thatprobability of occurrence of event A at least once = 1 - (probability of no occurrence of event A){\text{probability of occurrence of event A at least once = 1 - (probability of no occurrence of event A)}}, for any event AA.We will try to find a value of pp from it.

Complete step-by-step answer:
In this question, we are given,
55 independent Bernoulli trials each with the probability of successpp.
We know that Bernoulli trial is the experiment with exactly two possible outcomes, success and failure. Now further we are given that the probability of at least one failure is greater than or equal to3132\dfrac{{31}}{{32}}.
So, let the probability of at least one failure be qq
So, we get that q3132q \geqslant \dfrac{{31}}{{32}} (1) - - - - (1)
Now we can write that
probability of occurrence of event A at least once = 1 - (probability of no occurrence of event A){\text{probability of occurrence of event A at least once = 1 - (probability of no occurrence of event A)}}, for any event AA. (2) - - - - (2)
Now for using (2) for occurrence of failure, we get,
probability of at least one failure = 1 - (probability of no failure){\text{probability of at least one failure = 1 - (probability of no failure)}} (3) - - - - - - (3)
Now probability of no failure means that every time we get success and we know that there are a total of 5 independent trials. So,
Probability of no failure=p.p.p.p.p=p5 = p.p.p.p.p = {p^5} (4) - - - - - - (4)
Now substituting the value of probability of no failure from (4) in (3), we get
probability of at least one failure(q) = 1 - p5{\text{probability of at least one failure(q) = 1 - }}{p^5}
q=1p5\Rightarrow q = 1 - {p^5} (5) - - - - - (5)
Now substituting the value of qq from (5) in (1), we get
1p531321 - {p^5} \geqslant \dfrac{{31}}{{32}}
p513132{p^5} \leqslant 1 - \dfrac{{31}}{{32}}
Now solving it further, we get,
p5132{p^5} \leqslant \dfrac{1}{{32}}
p5323132{p^5} \leqslant \dfrac{{32 - 31}}{{32}}
p12p \leqslant \dfrac{1}{2} (5) - - - - (5)
Now we know that if P(A)P(A) is the probability of any eventAA, then 0P(A)10 \leqslant P(A) \leqslant 1
Hence as p12p \leqslant \dfrac{1}{2}, so using 0P(A)10 \leqslant P(A) \leqslant 1, where pp is probability for success-
0p12\Rightarrow 0 \leqslant p \leqslant \dfrac{1}{2}
So, p[0,12]p \in \left[ {0,\dfrac{1}{2}} \right]

So, the correct answer is “Option C”.

Note: In these kind of questions, we should remember that the experiment whose outcomes are exactly of two types that is success or failure is known as the Bernoulli trial.If qq is the probability of the failure and pp is the of success, then q=1pq = 1 - p.