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Question: The probability that a certain kind of component will survive a given shock is \[\dfrac{3}{4}.\] The...

The probability that a certain kind of component will survive a given shock is 34.\dfrac{3}{4}. The probability that among 5 components test at most 3 will survive is 472x,\dfrac{47}{{{2}^{x}}}, then what is the value of x.

Explanation

Solution

Hint: Now, to find the cases of at most 3, we have to find the values of 0, 1, 2, 3 separately using the formula P(x=r)= nCr(p)r(q)nrP\left( x=r \right)={{\text{ }}^{n}}{{C}_{r}}{{\left( p \right)}^{r}}{{\left( q \right)}^{n-r}} where n is the total cases, r is the asked case, p is the probability and q = 1 – p and then add all of them.

Complete step-by-step answer:
In the question, we are said that a probability of certain kind of component will survive a given shock is 34.\dfrac{3}{4}. Now, we are given that the probability among 5 components tested at most 3 will survive in the given form of 472x\dfrac{47}{{{2}^{x}}} and we have to find the value of x.
We have to find the probability for at most three will survive which can be represented as P(x3).P\left( x\le 3 \right). We can write P(x3)P\left( x\le 3 \right) as the sum of the values of P(x = 0), P(x = 1), P(x = 2) and P(x = 3).
Now, we will find the values of P(x = 0), P(x = 1), P(x = 3) by using the formula, P(x=r)= nCr(p)r(q)nr.P\left( x=r \right)={{\text{ }}^{n}}{{C}_{r}}{{\left( p \right)}^{r}}{{\left( q \right)}^{n-r}}.
Here, n is the total number of components and r is the number of components chosen, p is the probability of each and q is 1 – p.
Now, we know that n is 5, p is 34\dfrac{3}{4} and q is (134)\left( 1-\dfrac{3}{4} \right) or 14.\dfrac{1}{4}. So, we can substitute it. So, the value of P(x = 0) is 5C0(34)0(14)0^{5}{{C}_{0}}{{\left( \dfrac{3}{4} \right)}^{0}}{{\left( \dfrac{1}{4} \right)}^{0}} which is equal to 145\dfrac{1}{45} by using the fact that,
nCr=n!(nr)!r!^{n}{{C}_{r}}=\dfrac{n!}{\left( n-r \right)!r!}
The value of P(x = 1) is
5C1(34)1(14)4{{\Rightarrow }^{5}}{{C}_{1}}{{\left( \dfrac{3}{4} \right)}^{1}}{{\left( \dfrac{1}{4} \right)}^{4}}
5C1×345\Rightarrow \dfrac{^{5}{{C}_{1}}\times 3}{{{4}^{5}}}
5×345\Rightarrow \dfrac{5\times 3}{{{4}^{5}}}
1545\Rightarrow \dfrac{15}{{{4}^{5}}}
The value of P(x = 2) is
5C2(34)2(14)3{{\Rightarrow }^{5}}{{C}_{2}}{{\left( \dfrac{3}{4} \right)}^{2}}{{\left( \dfrac{1}{4} \right)}^{3}}
5C2×3245\Rightarrow \dfrac{^{5}{{C}_{2}}\times {{3}^{2}}}{{{4}^{5}}}
5!(52)!×2!×945\Rightarrow \dfrac{5!}{\left( 5-2 \right)!\times 2!}\times \dfrac{9}{{{4}^{5}}}
10×945\Rightarrow \dfrac{10\times 9}{{{4}^{5}}}
9045\Rightarrow \dfrac{90}{{{4}^{5}}}
And finally, the value of P(x = 3) is
5C3(34)3(14)2{{\Rightarrow }^{5}}{{C}_{3}}{{\left( \dfrac{3}{4} \right)}^{3}}{{\left( \dfrac{1}{4} \right)}^{2}}
5C3×3345\Rightarrow \dfrac{^{5}{{C}_{3}}\times {{3}^{3}}}{{{4}^{5}}}
5!(53)!×3!×2745\Rightarrow \dfrac{5!}{\left( 5-3 \right)!\times 3!}\times \dfrac{27}{{{4}^{5}}}
10×2745\Rightarrow \dfrac{10\times 27}{{{4}^{5}}}
27045\Rightarrow \dfrac{270}{{{4}^{5}}}
Now, we will find the values of P(x3)P\left( x\le 3 \right) by adding the values of P(x = 0), P(x = 1), P(x = 2) and P(x = 3) which are 145,1545,9045,27045.\dfrac{1}{{{4}^{5}}},\dfrac{15}{{{4}^{5}}},\dfrac{90}{{{4}^{5}}},\dfrac{270}{{{4}^{5}}}. Hence, the value of P(x3)P\left( x\le 3 \right) is
145+1545+9045+27045\dfrac{1}{{{4}^{5}}}+\dfrac{15}{{{4}^{5}}}+\dfrac{90}{{{4}^{5}}}+\dfrac{270}{{{4}^{5}}}
1+15+90+27045\Rightarrow \dfrac{1+15+90+270}{{{4}^{5}}}
37645\Rightarrow \dfrac{376}{{{4}^{5}}}
8×47210\Rightarrow \dfrac{8\times 47}{{{2}^{10}}}
4727\Rightarrow \dfrac{47}{{{2}^{7}}}
So, the probability is 4727.\dfrac{47}{{{2}^{7}}}. Now, on comparing the value, we get the value of x as 7.
Therefore, the value of x is 7.

Note: Generally, in many places, one can also see that in the formula, P(x=r)= nCr(p)r(1p)nrP\left( x=r \right)={{\text{ }}^{n}}{{C}_{r}}{{\left( p \right)}^{r}}{{\left( 1-p \right)}^{n-r}} instead of q, (1 – p) is also there which is also the same as p + q = 1.