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Q.A fair die is thrown 3 times. If getting "a number greater than 4" is called a success, find the probability distribution of the number of successes and hence find its mean and variance.

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"Greater than 4" means rolling a 5 or a 6, so p=26=13p=\dfrac{2}{6}=\dfrac{1}{3} per throw. With n=3n=3 independent throws, the number of successes X∼B(3, 1/3)X\sim B(3,\,1/3) — build the full distribution table from P(X=r)=(nr)prqn−rP(X=r)=\binom{n}{r}p^rq^{n-r}, then apply mean =np=np, variance =npq=npq.

p=P(5 or 6)=26=13,q=23,n=3p=P(\text{5 or 6})=\dfrac{2}{6}=\dfrac{1}{3},\quad q=\dfrac{2}{3},\quad n=3

P(X=0)=(30)(13)0(23)3=827P(X=0)=\binom{3}{0}\left(\dfrac{1}{3}\right)^0\left(\dfrac{2}{3}\right)^3=\dfrac{8}{27}

P(X=1)=(31)(13)1(23)2=3×13×49=49P(X=1)=\binom{3}{1}\left(\dfrac{1}{3}\right)^1\left(\dfrac{2}{3}\right)^2=3\times\dfrac{1}{3}\times\dfrac{4}{9}=\dfrac{4}{9}

P(X=2)=(32)(13)2(23)1=3×19×23=29P(X=2)=\binom{3}{2}\left(\dfrac{1}{3}\right)^2\left(\dfrac{2}{3}\right)^1=3\times\dfrac{1}{9}\times\dfrac{2}{3}=\dfrac{2}{9} …

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