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Question: The probability that a radar will detect an object in one cycle is \(p\). The probability that the o...

The probability that a radar will detect an object in one cycle is pp. The probability that the object will be detected in nn cycles is
(A) 1pn1 - {p^n}
(B) 1(1p)n1 - {\left( {1 - p} \right)^n}
(C) pn{p^n}
(D) p(1p)n1p{\left( {1 - p} \right)^{n - 1}}

Explanation

Solution

Hint : This question is based on probability. If the probability of happening an event is P(E)P(E), then the probability of an event that does not happen will be P(Eˉ)=1P(E)P\left( {\bar E} \right) = 1 - P\left( E \right). This means that the sum of probability of an event that happens and the event that does not happen is zero.
Or, P(E)+P(Eˉ)=1P\left( E \right) + P\left( {\bar E} \right) = 1

Complete step-by-step answer :
For the first cycle, there are two possibilities of events given below,
Let the probability of the event that the radar will “detect” an object in one cycle be P(A)P\left( A \right).
Then, P(A)=p(Given)P\left( A \right) = p{\rm{ }}\left( {{\rm{Given}}} \right).
Also, let the probability of the event that the radar will “not detect” the object in one cycle be P(B)P\left( B \right).
Then, P(B)=(1p)P\left( B \right) = \left( {1 - p} \right).

If in the 1st1{\rm{st}} cycle the object was not detected, then 2nd2{\rm{nd}} cycle is started.
Now for the 2nd2{\rm{nd}} cycle, the probability would be,
=P(B)P(A) =(1p)p\begin{array}{c} = P\left( B \right) \cdot P\left( A \right)\\\ = \left( {1 - p} \right) \cdot p \end{array}

Similarly, if in the 2nd2{\rm{nd}} cycle the object was not detected, then the 3rd3{\rm{rd}} cycle is started.
Now for the 3rd3{\rm{rd}} cycle, the probability would be,
=P(B)P(B)P(A) =(1p)(1p)p =(1p)2p\begin{array}{c} = P\left( B \right) \cdot P\left( B \right) \cdot P\left( A \right)\\\ = \left( {1 - p} \right) \cdot \left( {1 - p} \right) \cdot p\\\ = {\left( {1 - p} \right)^2} \cdot p \end{array}
For the 4th4{\rm{th}} cycle, the probability would be,
=P(B)P(B)P(B)P(A) =(1p)(1p)(1p)p =(1p)3p\begin{array}{c} = P\left( B \right) \cdot P\left( B \right) \cdot P\left( B \right) \cdot P\left( A \right)\\\ = \left( {1 - p} \right) \cdot \left( {1 - p} \right) \cdot \left( {1 - p} \right) \cdot p\\\ = {\left( {1 - p} \right)^3} \cdot p \end{array}

From the successive terms, For the nthn{\rm{th}} cycle, the probability would be,
=(1p)n1p= {\left( {1 - p} \right)^{n - 1}} \cdot p

Therefore, the probability that the object will be detected in nn cycles is (1p)n1p{\left( {1 - p} \right)^{n - 1}} \cdot p and the correct option is (D)
So, the correct answer is “Option D”.

Note : In the question, the number of cycles is not specified, so the radar will keep increasing the number of cycles until the object is detected. Therefore, a series of events will be formed, the last term of this series would be the nthn{\rm{th}} term and the value of nthn{\rm{th}} term is determined by the succession.