Chapter 8: Problem 37
Bob, the proprietor of Midland Lumber, feels that the odds in favor of a business deal going through are 9 to 5\. What is the (subjective) probability that this deal will not materialize?
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Chapter 8: Problem 37
Bob, the proprietor of Midland Lumber, feels that the odds in favor of a business deal going through are 9 to 5\. What is the (subjective) probability that this deal will not materialize?
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In a survey, consumers were asked how many television sets they have in their home. The results are summarized in the following table: $$ \begin{array}{lccccc} \hline \text { TVs } & 1 & 2 & 3 & 4 & 5 \\ \hline \text { Respondents, } \% & 13.9 & 26.5 & 28.6 & 14.8 & 16.2 \\ \hline \end{array} $$ Find the average number of TVs in the home of the respondents. What is the standard deviation for these data?
The frequency distribution of the hourly wage rates (in dollars) among blue- collar workers in a certain factory is given in the following table. Find the mean (or average) wage rate, the mode, and the median wage rate of these workers. \begin{tabular}{ccccccc} \hline Wage Rate & \(10.70\) & \(10.80\) & \(10.90\) & \(11.00\) & \(11.10\) & \(11.20\) \\\ \hline Frequency & 60 & 90 & 75 & 120 & 60 & 45 \\ \hline \end{tabular}
Use the formula \(C(n, x) p^{x} q^{n-x}\) to determine the probability of the given event. A fair die is rolled four times. Calculate the probability of obtaining exactly two \(6 \mathrm{~s}\).
Suppose \(X\) is a random variable with mean \(\mu\) and standard deviation \(\sigma\). If a large number of trials is observed, at least what percentage of these values is expected to lie between \(\mu-2 \sigma\) and \(\mu+2 \sigma ?\)
Use the appropriate normal distributions to approximate the resulting binomial distributions. Preview Showcase, a research firm, screens pilots of new TV shows before a randomly selected audience and then solicits their opinions of the shows. Based on past experience, \(20 \%\) of those who receive complimentary tickets are "no-shows." The theater has a seating capacity of \(500 .\) Management has decided, for public relations reasons, that \(99 \%\) of all ticket holders will be seated. How many tickets should the company send out to prospective viewers for each screening?
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