Question

(1 point) Suppose that you randomly draw one card from a standard deck of 52 cards. After writing down which card was drawn,

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Answer #1

Number of diamonds = 13

Total number of cards = 52

P[ a diamond is drawn ] = 12/52 = 1/4

Number of total cards drawn = 15

this is a case of binomial distribution with p = 0.25 and n = 15

P[ At least 5 diamond ] = 1 - P[ X <= 4 diamonds ]

Therefore, we get that

\Pr(X \le 4) = \sum_{i=0}^{ 4} \Pr(X = i) = \sum_{i=0}^{ 4} \left( \begin{matrix} n \\ i \end{matrix}\right) p^i (1-p)^{n-i}

This implies that

\Pr(X \le 4) = \Pr(X = 0) + \Pr(X = 1) + \Pr(X = 2) + \Pr(X = 3) + \Pr(X = 4)

\Pr(X \le 4)= \left( \begin{matrix} 15 \\ 0 \end{matrix}\right) 0.25^{ 0} \times 0.75^{ 15-0} + \left( \begin{matrix} 15 \\ 1 \end{matrix}\right) 0.25^{ 1} \times 0.75^{ 15-1} + \left( \begin{matrix} 15 \\ 2 \end{matrix}\right) 0.25^{ 2} \times 0.75^{ 15-2} + \left( \begin{matrix} 15 \\ 3 \end{matrix}\right) 0.25^{ 3} \times 0.75^{ 15-3} + \left( \begin{matrix} 15 \\ 4 \end{matrix}\right) 0.25^{ 4} \times 0.75^{ 15-4}

\Pr(X \le 4)= 0.0134 + 0.0668 + 0.1559 + 0.2252 + 0.2252

P[ X <= 4 diamonds ] = 0.6865

P[ At least 5 diamond ] = 1 - P[ X <= 4 diamonds ]

P[ At least 5 diamond ] = 1 - 0.6865

P[ At least 5 diamond ] = 0.3135

E(X) = np = 0.25*15 = 3.75

\sigma = \sqrt{np(1-p)}

\sigma = \sqrt{15*0.25(1-0.25)}

\sigma = 1.6771

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