Statistics

A jar contains 7 white marbles and 3 blue marbles. Given that the 4 marbles are chosen from the jar at the same time, find the standard deviation of the number of the blue marbles chosen. If the standard deviation can be written as a b \dfrac{ \sqrt{a} } { b} where a a and b b are coprime positive integers and a a is square-free, then what is a + b a+b ?


The answer is 19.

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1 solution

Pranshu Gaba
Mar 8, 2016

Let X X be the random variable that denotes the number of blue marbles chosen. The probability of choosing x x blue marbles is

P ( X = x ) = ( 7 4 x ) × ( 3 x ) ( 10 4 ) P (X = x) = \frac{\binom{7}{4 - x} \times \binom{3}{x}}{\binom{10}{4}}

Since there can be 0 , 1 , 2 , 0, 1, 2, or 3 3 blue marbles in our selection, we can substitute x = 0 , 1 , 2 , 3 x = 0, 1, 2, 3 in the above formula to find the distribution of X X .

x 0 1 2 3 P ( X = x ) ( 7 4 ) × ( 3 0 ) ( 10 4 ) = 1 6 ( 7 3 ) × ( 3 1 ) ( 10 4 ) = 1 2 ( 7 2 ) × ( 3 2 ) ( 10 4 ) = 3 10 ( 7 3 ) × ( 3 3 ) ( 10 4 ) = 1 30 \begin{array} {|c|c|c|c|c|} \hline x & 0 & 1 & 2 & 3 \\ \hline P(X = x) & \frac{\binom{7}{4} \times \binom{3}{0}}{\binom{10}{4}} = \frac{1}{6} & \frac{\binom{7}{3} \times \binom{3}{1}}{\binom{10}{4}} = \frac{1}{2} & \frac{\binom{7}{2} \times \binom{3}{2}}{\binom{10}{4}} = \frac{3}{10} & \frac{\binom{7}{3} \times \binom{3}{3}}{\binom{10}{4}} = \frac{1}{30} \\ \hline \end{array}

The standard deviation of a distribution is given by σ = V a r ( X ) \sigma = \sqrt{ Var(X) }

The variance of the distribution is V a r ( X ) = E [ X 2 ] ( E [ X ] ) 2 Var(X) = E[X^{2}] - (E[X])^{2}

E [ X 2 ] = 0 2 × 1 6 + 1 2 × 1 2 + 2 2 × 3 10 + 3 2 × 1 30 = 0 + 1 2 + 6 5 + 3 10 = 2 E [ X ] = 0 × 1 6 + 1 × 1 2 + 2 × 3 10 + 3 × 1 30 = 1 2 + 3 5 + 1 10 = 1.2 ( E [ X ] ) 2 = 1. 2 2 = 1.44 \begin{aligned}E[X^{2}] & = 0^{2} \times \frac{1}{6} + 1^{2} \times \frac{1}{2} + 2^{2} \times \frac{3} {10} + 3^{2} \times \frac{1}{30} \\ & = 0 + \frac{1}{2} + \frac{6}{5} + \frac{3 } {10} \\ & = 2 \\ \\ E[X] & = 0 \times \frac{1}{6} + 1 \times \frac{1}{2} + 2 \times \frac{3} {10} + 3 \times \frac{1}{30} \\ & = \frac{1}{2} + \frac{3}{5} + \frac{1}{10} \\ & = 1.2 \\ \implies (E[X])^{2} & = 1.2^{2} = 1.44 \end{aligned}

We get variance = 2 1.44 = 0.56 = 2 - 1.44 = 0.56 .
Standard deviation is the square root of variance σ = 0.56 = 14 25 = 14 5 \sigma = \sqrt{0.56} = \sqrt{\frac{14}{25} } = \frac{\sqrt{14}}{5} . Thus, 14 + 5 = 19 14 + 5 = 19 _\square

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