Chapter 8: Problem 25
A red and a green die are rolled, and \(X\) is the sum of the numbers facing up.
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Chapter 8: Problem 25
A red and a green die are rolled, and \(X\) is the sum of the numbers facing up.
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The following table shows tow ratings (in pounds) for some popular sports utility vehicles: \({ }^{5}\) \begin{tabular}{|l|l|} \hline Mercedes Grand Marquis V8 & 2,000 \\ \hline Jeep Wrangler I6 & 2,000 \\ \hline Ford Explorer V6 & 3,000 \\ \hline Dodge Dakota V6 & 4,000 \\ \hline Mitsubishi Montero V6 & 5,000 \\ \hline Ford Explorer V8 & 6,000 \\ \hline Dodge Durango V8 & 6,000 \\ \hline Dodge Ram 1500 V8 & 8,000 \\ \hline Ford Expedition V8 & 8,000 \\ \hline Hummer 2-door Hardtop & 8,000 \\ \hline \end{tabular} Let \(X\) be the tow rating of a randomly chosen popular SUV from the list above. a. What are the values of \(X ?\) b. Compute the frequency and probability distributions of c. What is the probability that an SUV (from the list above) is rated to tow no more than 5,000 pounds?
Calculate the expected value of the given random variable X. [Exercises 23, 24, 27, and 28 assume familiarity with counting arguments and probability (see Section 7.4).] [HINT: See Quick Example 6. Twenty darts are thrown at a dartboard. The probability of hitting a bull's-eye is .1. Let \(X\) be the number of bull's-eyes hit.
If we model after-tax household income with a normal distribution, then the figures of a 1995 study imply the information in the following table, which should be used for Exercises \(35-40^{55}\) Assume that the distribution of incomes in each country is normal, and round all percentages to the nearest whole number: Which country has a higher proportion of very poor families (income \(\$ 12,000\) or less): the United States or Canada?
Your company issues flight insurance. You charge \(\$ 2\) and in the event of a plane crash, you will pay out \(\$ 1\) million to the victim or his or her family. In 1989, the probability of a plane crashing on a single trip was \(.00000165\). If ten people per flight buy insurance from you, what was your approximate probability of losing money over the course of 100 million flights in \(1989 ?\) HINT [First determine how many crashes there must be for you to lose money.]
Your scores for the 20 surprise math quizzes last semester were (out of 10 ) $$ \begin{aligned} &4.5,9.5,10.0,3.5,8.0,9.5,7.5,6.5,7.0,8.0 \\ &8.0,8.5,7.5,7.0,8.0,9.0,10.0,8.5,7.5,8.0 \end{aligned} $$ Use these raw data to construct a frequency table with the following brackets: \(2.1-4.0,4.1-6.0,6.1-8.0,8.1-10.0\), and find the probability distribution using the (rounded) midpoint values as the values of \(X\).
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