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Question: The probability that Dhoni will hit a century in every ODI match he plays is \(\dfrac{1}{5}\). If he...

The probability that Dhoni will hit a century in every ODI match he plays is 15\dfrac{1}{5}. If he plays 6 matches in World cup 2011, the probability that he will score century in all the 6 matches is:
A. 13125\dfrac{1}{{3125}}
B. 53125\dfrac{5}{{3125}}
C. 409615625\dfrac{{4096}}{{15625}}
D. 15553125\dfrac{{1555}}{{3125}}

Explanation

Solution

We will use Bernoulli's theorem as there are only possible outcomes, either Dhoni will hit century or he will not score a century in an ODI match. From the given probability of scoring a century, calculate the probability of not scoring a century. Then substitute the values in Bernoulli's theorem is nCrprqnr^n{C_r}{p^r}{q^{n - r}} , to get the required probability.

Complete step-by-step answer:
Let the probability of getting a century in an ODI match bepp which is given as 15\dfrac{1}{5}.
Now we will calculate the probability of not hitting a century in an ODI match by subtracting the probability of hitting a century from 1.
Let us denote the above probability by qq.
q=1p q=115 q=45  \Rightarrow q = 1 - p \\\ \Rightarrow q = 1 - \dfrac{1}{5} \\\ \Rightarrow q = \dfrac{4}{5} \\\
We have to find the probability of scoring a century in all 6 matches.
We will Bernoulli's theorem to find the required probability.
Bernoulli's theorem is nCrprqnr^n{C_r}{p^r}{q^{n - r}} , where nn is the total number of matches, rr is the required number of matches, pp is the probability of success and qq is the probability of failure.
On substituting the values for total and required matches as 6, we will get,
6C6(15)6(45)66 6C6(15)6  { \Rightarrow ^6}{C_6}{\left( {\dfrac{1}{5}} \right)^6}{\left( {\dfrac{4}{5}} \right)^{6 - 6}} \\\ { \Rightarrow ^6}{C_6}{\left( {\dfrac{1}{5}} \right)^6} \\\
Now, we know that nCn=1^n{C_n} = 1
Therefore, the required probability is (15)6=115625{\left( {\dfrac{1}{5}} \right)^6} = \dfrac{1}{{15625}}
Hence the required probability is 115625.\dfrac{1}{{15625}}.

Note: The sum of the probability of success and probability of failure is equal to 1. Also, the probability of any event cannot be less than 0 and cannot be greater than 1.