Chapter 7: Problem 39
If a 5-card poker hand is dealt from a well-shuffled deck of 52 cards, what is the probability of being dealt the given hand? A full house
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Chapter 7: Problem 39
If a 5-card poker hand is dealt from a well-shuffled deck of 52 cards, what is the probability of being dealt the given hand? A full house
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Refer to the following experiment: Urn A contains four white and six black balls. Urn B contains three white and five black balls. A ball is drawn from urn A and then transferred to urn B. A ball is then drawn from urn B. Represent the probabilities associated with this two-stage experiment in the form of a tree diagram.
Two hundred workers were asked: Would a better economy lead you to switch jobs? The results of the survey follow: $$ \begin{array}{lccccc} \hline \text { Answer } & \begin{array}{c} \text { Very } \\ \text { likely } \end{array} & \begin{array}{c} \text { Somewhat } \\ \text { likely } \end{array} & \begin{array}{c} \text { Somewhat } \\ \text { unlikely } \end{array} & \begin{array}{c} \text { Very } \\ \text { unlikely } \end{array} & \begin{array}{c} \text { Don't } \\ \text { know } \end{array} \\ \hline \text { Respondents } & 40 & 28 & 26 & 104 & 2 \\ \hline \end{array} $$ If a worker is chosen at random, what is the probability that he or she a. Is very unlikely to switch jobs? b. Is somewhat likely or very likely to switch jobs?
Fifty raffle tickets are numbered 1 through 50 , and one of them is drawn at random. What is the probability that the number is a multiple of 5 or \(7 ?\) Consider the following "solution": Since 10 tickets bear numbers that are multiples of 5 and since 7 tickets bear numbers that are multiples of 7 , we conclude that the required probability is $$ \frac{10}{50}+\frac{7}{50}=\frac{17}{50} $$ What is wrong with this argument? What is the correct answer?
In a survey of 1000 eligible voters selected at random, it was found that 80 had a college degree. Additionally, it was found that \(80 \%\) of those who had a college degree voted in the last presidential election, whereas \(55 \%\) of the people who did not have a college degree voted in the last presidential election. Assuming that the poll is representative of all eligible voters, find the probability that an eligible voter selected at random a. Had a college degree and voted in the last presidential election. b. Did not have a college degree and did not vote in the last presidential election. c. Voted in the last presidential election. d. Did not vote in the last presidential election.
A medical test has been designed to detect the presence of a certain disease. Among those who have the disease, the probability that the disease will be detected by the test is \(.95\). However, the probability that the test will erroneously indicate the presence of the disease in those who do not actually have it is .04. It is estimated that \(4 \%\) of the population who take this test have the disease. a. If the test administered to an individual is positive, what is the probability that the person actually has the disease? b. If an individual takes the test twice and both times the test is positive, what is the probability that the person actually has the disease? (Assume that the tests are independent.)
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