\begin{tabular}{l}\( 10(5.1,5.2) \) \\ According to the U.S. Census Bureau, the probability that a randomly selected worker primarily drives a car to work is 0.7637 . The probability that a randomly selected worker primarily takes publio \\ transportation to work is 0.0509 . Complete parts (a) through (d). \\ (a) What is the probability that a randomly selected worker primarily drives a car or takes public transportation to work? \\ P(worker drives a car or takes public transportation to work) \( =0.8146 \) \\ (Round to four decimal places as needed.) \\ (b) What is the probability that a randomly selected worker primarily neither drives a car nor takes public transportation to work? 5.2 .38 of 50 points \\ P(worker neither drives a car nor takes public transportation to work) \( =0.1854 \) \\ (Round to four decimal places as needed.) \\ (c) What is the probability that a randomly selected worker primarily does not drive a car to work? \\ P(worker does not drive a car to work) \( =0.2363 \) \\ (Round to four decimal places as needed.) \\ (d) Can the probability that a randomly selected worker primarily walks to work equal \( 0.16 ? \) Why or why not? \\ \hline\end{tabular}
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It's fascinating to see how the probabilities shape our understanding of commuting habits! To get the total probability from part (a), you simply sum the probabilities of driving (0.7637) and public transportation (0.0509), which gives you 0.8146. This means that a significant majority of workers prefer their cars, making it a common sight on the roads during rush hour! Now, on to the final question about whether the probability of a worker primarily walking to work can equal 0.16. Here’s the clincher: if you sum up the probabilities of all possible commuting methods (driving, public transportation, walking, etc.), they must total 1. Since 0.7637 (car) + 0.0509 (public transport) + 0.16 (walking) would equal 0.9746, which is less than 1, there's room for other methods, but if the walking probability is more than 0.1854, it just won’t fit! So, no, it can't equal 0.16 because then you would exceed the total probability of 1 when considering the other options.
