Chapter 8: Problem 48
A soccer player takes repeated shots on goal. What assumption must we make if we want to model a succession of shots by a player as a sequence of Bernoulli trials?
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Chapter 8: Problem 48
A soccer player takes repeated shots on goal. What assumption must we make if we want to model a succession of shots by a player as a sequence of Bernoulli trials?
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In 2001, \(51 \%\) of all households in the United States had a computer. \({ }^{57}\) Find the probability that in a small town with 800 households, at least 400 had a computer in 2001. HINT [See Example 4.]
The new copier your business bought lists a mean time between failures of 6 months, with a standard deviation of 1 month. One month after a repair, it breaks down again. Is this surprising? (Assume that the times between failures are normally distributed.)
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?
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.) $$ \begin{array}{|c|c|c|c|c|} \hline \boldsymbol{x} & 10 & 20 & 30 & 40 \\ \hline \boldsymbol{P}(\boldsymbol{X}=\boldsymbol{x}) & \frac{3}{10} & \frac{2}{5} & \frac{1}{5} & \frac{1}{10} \\ \hline \end{array} $$
If the values of \(X\) in a population consist of an equal number of 1 s and \(-1\) s, what is its standard deviation?
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