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Suppose we are playing draw poker. We are dealt (from a well-shuffled deck) five cards, which contain four spades and another card of a different suit. We decide to discard the card of a different suit and draw one card from the remaining cards to complete a flush in spades (all five cards spades). Determine the probability of completing the flush.

Short Answer

Expert verified
The probability of completing the flush in spades is \( \frac{3}{16} \).

Step by step solution

01

Understanding the Card Deck

A standard deck of cards contains 52 cards: 4 suits (hearts, diamonds, clubs, spades) each of 13 cards (Ace to 10, Jack, Queen and King). So, there are 13 spades.
02

Replacing the Non-Spade Card

In the game, four spades are already in hand, leave 9 spades in the deck. The deck has now 48 cards (52 original cards - 4 spades in hand) from which we will draw a card.
03

Calculating the Probability

The probability is calculated by dividing the number of successful outcomes by the total outcomes. Here, successful outcome is drawing a spade. So the probability (P) can be calculated as P = Number of Spades Remaining / Total Number of Cards Remaining. That gives \(P = \frac{9}{48} = \frac{3}{16}\).

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Most popular questions from this chapter

A person has purchased 10 of 1000 tickets sold in a certain raffle. To determine the five prize winners, five tickets are to be drawn at random and without replacement. Compute the probability that this person wins at least one prize. Hint: First compute the probability that the person does not win a prize.

Let a card be selected from an ordinary deck of playing cards. The outcome \(c\) is one of these 52 cards. Let \(X(c)=4\) if \(c\) is an ace, let \(X(c)=3\) if \(c\) is a king, let \(X(c)=2\) if \(c\) is a queen, let \(X(c)=1\) if \(c\) is a jack, and let \(X(c)=0\) otherwise. Suppose that \(P\) assigns a probability of \(\frac{1}{52}\) to each outcome \(c .\) Describe the induced probability \(P_{X}(D)\) on the space \(\mathcal{D}=\\{0,1,2,3,4\\}\) of the random variable \(X\).

The distribution of the random variable \(X\) in Example \(1.7 .3\) is a member of the log- \(F\) familily. Another member has the cdf $$ F(x)=\left[1+\frac{2}{3} e^{-x}\right]^{-5 / 2}, \quad-\infty

Suppose \(A\) and \(B\) are independent events. In expression (1.4.6) we showed that \(A^{c}\) and \(B\) are independent events. Show similarly that the following pairs of events are also independent: (a) \(A\) and \(B^{c}\) and (b) \(A^{c}\) and \(B^{c}\).

Show that the following sequences of sets, \(\left\\{C_{k}\right\\}\), are nondecreasing, (1.2.16), then find \(\lim _{k \rightarrow \infty} C_{k}\). (a) \(C_{k}=\\{x: 1 / k \leq x \leq 3-1 / k\\}, k=1,2,3, \ldots\). (b) \(C_{k}=\left\\{(x, y): 1 / k \leq x^{2}+y^{2} \leq 4-1 / k\right\\}, k=1,2,3, \ldots\)

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