A study found that highway drivers in one state traveled at an average speed of 54.1 miles per hour (MPH). Assume the population standard deviation is 5.4 MPH. Complete parts a through d below.
a. What is the probability that a sample of 30 of the drivers will have a sample mean less than 53 MPH?
P(x<53)=
(Round to four decimal places as needed.)
b. What is the probability that a sample of 40 of the drivers will have a sample mean less than 53 MPH?
P(x<53)=
(Round to four decimal places as needed.)
c. What is the probability that a sample of 50 of the drivers will have a sample mean less than 53MPH?
P(x<53)=
(Round to four decimal places as needed.)
d. Explain the difference in these probabilities.
As the sample size increases, the standard error of the mean
▼
decreases
stays the same
increases
and the sample means
▼
tend to move closer to
tend to move farther away from
stay about the same as
the population mean of
54.1
MPH. Therefore, the probability of observing a sample mean less than 53 MPH
▼
stays the same.
increases.
decreases.
A study found that highway drivers in one state traveled at an average speed of 54.1...
A study was conducted in 1980 that found that New York had the slowest highway drivers in the country. The drivers traveled at an average speed of 52.7 mph. Assume the population standard deviation is 6 mph. What is the probability that a sample of 45 of the drivers will have a sample mean less than 51 mph? a) what is the standard error of the Sampling distribution? b) what is the probability that a sample of 45 of the...
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