Question 403 of 417MediumMCQ
If a random variable X follows the Binomial distribution B(5, p) such that P(X = 0) = P(X = 1), then \[{{P(X = 2)} \over {P(X = 3)}}\] is equal to :
Solutions · 1
Official solution
Given,
n=5
and P(X=0)=P(X=1)
We know, \[p(x = r) = {}^n{C_r}\,.\,{p^r}\,.\,{q^{n - r}}\]
where p+q=1
\[\therefore\] P(X=0)=P(X=1)
\[ \Rightarrow {}^5{C_0}\,.\,{p^0}\,.\,{q^5} = {}^5{C_1}\,.\,{p^1}\,.\,{q^4}\]
\[ \Rightarrow 1\,.\,1\,.\,{(1 - p)^5} = 5\,.\,p\,.\,{(1 - p)^4}\]
\[ \Rightarrow 1 - p = 5p\]
\[ \Rightarrow 6p = 1\]
\[ \Rightarrow p = {1 \over 6}\]
\[\therefore\] \[q = 1 - p = 1 - {1 \over 6} = {5 \over 6}\]
Now, \[{{P(X = 2)} \over {P(X = 3)}} = {{{}^5{C_2}\,.\,{p^2}\,.\,{q^3}} \over {{}^5{C_3}\,.\,{p^3}\,.\,{q^2}}}\]
\[ = {{10\,.\,q} \over {10\,.\,p}}\]
\[ = {5 \over 6} \times {6 \over 1}\]
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