Suppose that the miles-per-gallon (mpg) rating of passenger cars is normally distributed with a mean and a standard deviation of 33.4 and 3.4 mpg, respectively. [You may find it useful to reference the z table.] a. What is the probability that a randomly selected passenger car gets more than 34 mpg? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.) b. What is the probability that the average mpg of five randomly selected passenger cars is more than 34 mpg? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.) c. If five passenger cars are randomly selected, what is the probability that all of the passenger cars get more than 34 mpg? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
The distribution given here is:
a) The probability required here is:
P(X > 34)
Converting it to a standard normal variable, we get:
Getting it from the standard normal tables, we get:
Therefore 0.4286 is the required probability here.
b) For 5 passengers the probability for sample mean is computed as:
Converting it to a standard normal variable, we get:
Getting it from the standard normal tables, we get:
Therefore 0.3483 is the required probability here.
c) Probability that all of the 5 passengers selected get more than 34 mpg is computed as:
= 0.4286*0.4286*..... 5 times
= 0.42865
= 0.0145
Therefore 0.0145 is the required probability here.
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