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Question: A hunter knows that a deer is hidden in one of the two near by bushes, the probability of its being ...

A hunter knows that a deer is hidden in one of the two near by bushes, the probability of its being hidden in bush-I being 45\frac{4}{5}. The hunter having a rifle containing 10 bullets decides to fire them all at bush-I or II. It is known that each shot may hit one of the two bushes, independently of the other with probability 12\frac{1}{2}. Number of bullets must he fire on bush-I to hit the animal with maximum probability is (Assume that the bullet hitting the bush also hits the animal).

Answer

6

Explanation

Solution

We first note that the deer is in bush‑I with probability

PI=45P_I=\frac{4}{5}

and in bush‑II with probability

PII=15.P_{II}=\frac{1}{5}.

If the hunter fires xx bullets at bush‑I and (10x)(10-x) bullets at bush‑II, then each bullet (independently) hits its chosen bush with probability 12\frac{1}{2}. Hence, the probability that at least one bullet hits bush‑I is

1(12)x,1-\left(\frac{1}{2}\right)^x,

and similarly, the probability that at least one bullet hits bush‑II is

1(12)10x.1-\left(\frac{1}{2}\right)^{10-x}.

Thus, the overall probability PP of hitting the deer is

P(x)=45[1(12)x]+15[1(12)10x].P(x)=\frac{4}{5}\left[1-\left(\frac{1}{2}\right)^x\right] + \frac{1}{5}\left[1-\left(\frac{1}{2}\right)^{10-x}\right].

Since the overall constant “1” does not affect maximization, we need to minimize

Q(x)=45(12)x+15(12)10x.Q(x)=\frac{4}{5}\left(\frac{1}{2}\right)^x+\frac{1}{5}\left(\frac{1}{2}\right)^{10-x}.

To find the optimal xx, we consider xx as a continuous variable and differentiate Q(x)Q(x) with respect to xx.

Express the terms using exponentials:

(12)x=exln2and(12)10x=e(10x)ln2=e10ln2exln2.\left(\frac{1}{2}\right)^x = e^{-x\ln 2} \quad \text{and} \quad \left(\frac{1}{2}\right)^{10-x} = e^{-(10-x)\ln 2} = e^{-10\ln2}e^{x\ln 2}.

Thus,

Q(x)=45exln2+15e10ln2exln2.Q(x)=\frac{4}{5}e^{-x\ln2} + \frac{1}{5}e^{-10\ln2}e^{x\ln2}.

Differentiate:

dQdx=45(ln2)exln2+15e10ln2(ln2)exln2.\frac{dQ}{dx} = \frac{4}{5}(-\ln2)e^{-x\ln2} + \frac{1}{5}e^{-10\ln2}(\ln2)e^{x\ln2}.

Set dQdx=0\frac{dQ}{dx}=0:

45ln2exln2+15ln2e10ln2exln2=0.-\frac{4}{5}\ln2\,e^{-x\ln2} + \frac{1}{5}\ln2\,e^{-10\ln2}e^{x\ln2}=0.

Cancel 15ln2\frac{1}{5}\ln2 (which is nonzero) to obtain:

4exln2+e10ln2exln2=0.-4\,e^{-x\ln2} + e^{-10\ln2}e^{x\ln2}=0.

Rearrange:

e10ln2exln2=4exln2.e^{-10\ln2}e^{x\ln2} = 4\, e^{-x\ln2}.

Divide both sides by exln2e^{-x\ln2}:

e10ln2e2xln2=4.e^{-10\ln2}e^{2x\ln2} = 4.

This is equivalent to:

e(2x10)ln2=422x10=4.e^{(2x-10)\ln2} = 4 \quad \Rightarrow \quad 2^{2x-10} = 4.

Since 4=224=2^2, we have:

2x10=22x=12x=6.2x-10=2 \quad \Rightarrow \quad 2x=12 \quad \Rightarrow \quad x=6.

Thus, the hunter should fire 6 bullets at bush‑I (and the remaining 4 at bush‑II) to maximize the probability of hitting the deer.