In: Statistics and Probability
Suppose that the miles-per-gallon (mpg) rating of passenger cars
is normally distributed with a mean and a standard deviation of
31.6 and 4.9 mpg, respectively.
a. What is the probability that a randomly
selected passenger car gets more than 35 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
two randomly selected passenger cars is more than 35 mpg?
(Round “z” value to 2 decimal places, and final
answer to 4 decimal places.)
c. If two passenger cars are randomly selected,
what is the probability that all of the passenger cars get more
than 35 mpg? (Round “z” value to 2 decimal places,
and final answer to 4 decimal places.)
This is a normal distribution question with
P(x > 35.0)=?
The z-score at x = 35.0 is,
z = 0.6939
This implies that
P(x > 35.0) = P(z > 0.6939) = 1 - 0.7561275382003682
b) Sample size (n) = 2
Since we know that
P(x > 35.0)=?
The z-score at x = 35.0 is,
z = 0.9813
This implies that
P(x > 35.0) = P(z > 0.9813) = 1 - 0.8367775886235855
c) This is a binomial distribution question with
n = 2
p = 0.2439
q = 1 - p = 0.7561
where
Please hit thumps up if the answer helped you