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Vehicle Type Car SUV Pickup Other Cracked Windshield 1 4 6 4 Not Cracked 15 5 7 8 a. What is the probability that the

Vehicle Type
Car SUV Pickup Other
Cracked Windshield 1 4 6 4
Not Cracked 15 5 7 8

a. What is the probability that the windshield is cracked for a randomly-selected vehicle in your sample?

b. What is the probability a randomly-selected vehicle in your sample is a car and does not have a cracked windshield? Vehicle Type Car SUV Pickup Other Cracked Windshield Not Cracked

c. What is the probability that a randomly-selected vehicle in your sample is not a pickup?

d. What is the probability a randomly-selected vehicle in your sample is a car or does not have a cracked windshield?

e. What is the probability a randomly-selected vehicle in your sample is not a pickup or has a cracked windshield?

f. What is the probability a randomly-selected vehicle in your sample is an SUV, given that the vehicle has a cracked windshield?

g. What is the probability a randomly-selected vehicle in your sample has a cracked windshield, given that the vehicle is a car? 6. (6 pts) Conclusions: Answer each of the following in paragraph form and in complete sentences.

a. Which type of vehicle in your set would be most likely to have a cracked windshield? Explain how you determined this. (Hint: the number of cracked windshields itself won't necessarily tell you which vehicle is most likely to have a cracked windshield, since you may have more or less of a particular type of vehicle.)

b. Was the proportion of cracked windshields what you expected it to be prior to collecting the data? Explain.

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