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3)) Given a deck of cards find the following probability, Put your answers in reduced fraction form or round them to the nearest ten-thousandy P (Drawing six oards (with replacement) and exactly 3 of the cards being black)

Ask by Crawford Simmons. in the United States
Mar 20,2025

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Answer

The probability of drawing exactly 3 black cards in 6 draws with replacement is \(\frac{5}{16}\) or 0.3125.

Solution

We have 6 draws with replacement, and we want exactly 3 of these cards to be black. Since the deck is evenly split between black and red cards, the probability of drawing a black card in one draw is \[ p = \frac{26}{52} = \frac{1}{2}. \] This is a binomial probability problem with parameters \(n = 6\) and \(p = \frac{1}{2}\). The probability of getting exactly \(k = 3\) black cards is given by the binomial formula \[ P(X=3) = \binom{6}{3} \left(\frac{1}{2}\right)^{3} \left(\frac{1}{2}\right)^{3} = \binom{6}{3} \left(\frac{1}{2}\right)^6. \] First, calculate the binomial coefficient: \[ \binom{6}{3} = \frac{6!}{3!\,3!} = \frac{720}{6 \times 6} = 20. \] Now, compute the probability: \[ P(X=3) = 20 \times \left(\frac{1}{2}\right)^6 = 20 \times \frac{1}{64} = \frac{20}{64} = \frac{5}{16}. \] Alternatively, as a decimal rounded to the nearest ten-thousandth: \[ \frac{5}{16} = 0.3125. \]

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To solve this probability question, we need to consider that there are 26 black cards in a standard 52-card deck. When drawing cards with replacement, each draw is independent, and we can use the binomial probability formula. The probability of drawing a black card (success) is 26/52 = 1/2, and the probability of drawing a non-black card (failure) is also 1/2. The formula for the probability of getting exactly k successes in n trials is given by: \[ P(X = k) = \binom{n}{k} \times p^k \times (1-p)^{n-k} \] Here, n = 6 (the number of draws), k = 3 (the number of black cards), and p = 1/2. Calculating this, we get: \[ P(X = 3) = \binom{6}{3} \times (1/2)^3 \times (1/2)^{6-3} \] \[ = 20 \times (1/2)^6 = 20/64 = 5/16 \] So the probability of drawing exactly 3 black cards when drawing 6 cards with replacement is \( \frac{5}{16} \).

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If events \( A \) and \( B \) are from the same sample space, and if \( P(A)=0.8 \) and \( P(B)=0.9 \), can events \( A \) and \( B \) be mutually exclusive? Explain. Choose the correct answer below. A. All probabilities are less than or equal to 1 and greater than or equal to 0 . If events are mutually exclusive, then \( P(A \cup B)=P(A)+P(B) \). Therefore, if \( A \) and \( B \) are mutually exclusive, \( P(A \cup \) \( \begin{array}{l}B)=P(A)+P(B)=0.8+0.9=1 \text {, which is possible. Therefore, events } A \text { and } B \text { are mutually exclusive. } \\ \text { B. All probabilities are less than or equal to } 1 \text { and greater than or equal to } 0 \text {. If events are mutually exclusive, } \\ \text { then } P(A \cup B)=P(A)+P(B) \text {. Therefore, if } A \text { and } B \text { are mutually exclusive, } P(A \cup\end{array} \) \( B)=P(A)+P(B)=0.8+0.9=0 \), which is possible. Therefore, events \( A \) and \( B \) are mutually exclusive. C. All probabilities are less than or equal to 1 and greater than or equal to 0 . If events are mutually exclusive, then \( P(A \cup B)=P(A)+P(B) \). Therefore, if \( A \) and \( B \) are mutually exclusive, \( P(A \cup \) B \( \begin{array}{l}B)=P(A)+P(B)=0.8+0.9=1.7 \text {, which is impossible. Therefore, events } A \text { and } B \text { are not mutually exclusive. } \\ \text { D. All probabilities are less than or equal to } 1 \text { and greater than or equal to } 0 \text {. If events are mutually exclusive, } \\ \text { then } P(A \cup B)=P(A)+P(B) \text {. Therefore, if } A \text { and } B \text { are mutually exclusive, } P(A \cup \\ B)=P(A)+P(B)=0.8+0.9=1.7 \text {, which is possible. Therefore, events } A \text { and } B \text { are mutually exclusive. }\end{array} \)
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