Chapter 2: Problem 52
A closet contains 10 pairs of shoes. If 8 shoes are randomly selected, what is the probability that there will be (a) no complete pair? (b) exactly 1 complete pair?
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 2: Problem 52
A closet contains 10 pairs of shoes. If 8 shoes are randomly selected, what is the probability that there will be (a) no complete pair? (b) exactly 1 complete pair?
All the tools & learning materials you need for study success - in one app.
Get started for free
A pair of fair dice is rolled. What is the probability that the second die lands on a higher value than does the first?
Consider the following technique for shuffling a deck of \(n\) cards: For any initial ordering of the cards, go through the deck one card at a time and at each card, flip a fair coin. If the coin comes up heads, then leave the card where it is; if the coin comes up tails, then move that card to the end of the deck. After the coin has been flipped \(n\) times, say that one round has been completed. For instance, if \(n=4\) and the initial ordering is 1,2,3 \(4,\) then if the successive flips result in the outcome \(h, t, t, h,\) then the ordering at the end of the round is \(1,4,2,3 .\) Assuming that all possible outcomes of the sequence of \(n\) coin flips are equally likely, what is the probability that the ordering after one round is the same as the initial ordering?
Compute the probability that a bridge hand is void in at least one suit. Note that the answer is not \(\frac{\left(\begin{array}{l}4 \\\ 1\end{array}\right)\left(\begin{array}{l}39 \\\ 13\end{array}\right)}{\left(\begin{array}{l}52 \\ 13\end{array}\right)}\) (Why not?) Hint: Use Proposition 4.4
An urn contains 3 red and 7 black balls. Players \(A\) and \(B\) withdraw balls from the urn consecutively until a red ball is selected. Find the probability that \(A\) selects the red ball. \((A\) draws the first ball, then \(B,\) and so on. There is no replacement of the balls drawn.)
The game of craps is played as follows: A player rolls two dice. If the sum of the dice is either a \(3,\) or \(12,\) the player loses; if the sum is either a 7 or an \(11,\) the player wins. If the outcome is anything else, the player continues to roll the dice until she rolls either the initial outcome or a \(7 .\) If the 7 comes first, the player loses, whereas if the initial outcome reoccurs before the 7 appears, the player wins. Compute the probability of a player winning at craps. Hint: Let \(E_{i}\) denote the event that the initial outcome is \(i\) and the player wins. The desired probability is \(\sum_{i=2}^{12} P\left(E_{i}\right) .\) To compute \(P\left(E_{i}\right),\) define the events \(E_{i, n}\) to be the event that the initial sum is \(i\) and the player wins on the \(n\) th roll. Argue that \(P\left(E_{i}\right)=\sum_{n=1}^{\infty} P\left(E_{i, n}\right)\) 2 events \(E_{i, n}\) to be the event that the initial sum is \(i\) and the player wins on the \(n\) th roll. Argue that \(P\left(E_{i}\right)=\sum_{n=1}^{\infty} P\left(E_{i, n}\right)\).
What do you think about this solution?
We value your feedback to improve our textbook solutions.