Chapter 8: Problem 47
A soccer player is more likely to score on his second shot if he was successful on his first. Can we model a succession of shots a player takes as a sequence of Bernoulli trials? Explain.
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Chapter 8: Problem 47
A soccer player is more likely to score on his second shot if he was successful on his first. Can we model a succession of shots a player takes as a sequence of Bernoulli trials? Explain.
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Teenage Marketing In \(2000,18 \%\) of all teenagers in the United States owned stocks or bonds. \(^{48}\) Your brokerage company, TeenStox Inc., is interested in targeting teenagers who do not already own stocks or bonds. a. If TeenStox selects a random sample of 2,000 teenagers, what number of teenagers who do not own stocks or bonds can it expect to find? What is the standard deviation of this number? (Round the standard deviation to one decimal place.) b. Fill in the missing quantities: There is an approximately \(99.7 \%\) chance that between sample will not own stocks or bonds. (Round answers to the nearest whole number.)
Your friend Charlesworth claims that the median of a collection of data is always close to the mean. Is he correct? If so, say why; if not, give an example to prove him wrong.
In a certain set of scores, there are as many values above the mean as below it. It follows that (A) The median and mean are equal. (B) The mean and mode are equal. (C) The mode and median are equal. (D) The mean, mode, and median are all equal.
Calculate the standard deviation of \(X\) for each probability distribution. (You calculated the expected values in the last exercise set. Round all answers to two decimal places.) $$ \begin{array}{|c|c|c|c|c|} \hline \boldsymbol{x} & 10 & 20 & 30 & 40 \\ \hline \boldsymbol{P}(\boldsymbol{X}=\boldsymbol{x}) & \frac{3}{10} & \frac{2}{5} & \frac{1}{5} & \frac{1}{10} \\ \hline \end{array} $$
Sport Utility Vehicles Following are the city driving gas mileages of a selection of sport utility vehicles (SUVs): \(14,15,14,15,13,16,12,14,19,18,16,16,12,15,15,13\) a. Find the sample standard deviation (rounded to two decimal places). b. In what gas mileage range does Chebyshev's inequality predict that at least \(75 \%\) of the selection will fall? c. What is the actual percentage of SUV models of the sample that fall in the range predicted in part (b)? Which gives the more accurate prediction of this percentage: Chebyshev's rule or the empirical rule?
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