In: Statistics and Probability
Suppose the time between buses at a particular stop is a positively skewed random variable with an average of 60 minutes and standard deviation of 6 minutes. Suppose the time between buses at this stop is measured for a randomly selected week, resulting in a random sample of n = 36 times. The average of this sample,
X, is a random variable that comes from a specific probability distribution.
(a)Which of the following is true about the distribution of mean times for n = 36?
The distribution will be normally distributed with a mean of 60 minutes and a standard deviation of 6 minutes.
The distribution will be positively skewed with a mean of 60 minutes and a standard deviation of 6 minutes.
The distribution will be normally distributed with a mean of 60 minutes and a standard deviation of 1 minutes.
The distribution will be positively skewed with a mean of 60 minutes and a standard deviation of 1 minutes.
(b) Calculate the probability the mean time for the sample of 36
buses will be between 59 minutes and 61 minutes.
P(59 ≤ X ≤ 61)
=
(c) How likely is it the average time will exceeds 61 minutes?
P(X ≥ 61)
=
You may need to use the z table to complete this problem.
(a)Which of the following is true about the distribution of mean times for n = 36?
The distribution will be normally distributed with a mean of 60 minutes and a standard deviation of 1 minutes.
For the mean times the distribution follows Normal distribution with mean = 60,
(b) Calculate the probability the mean time for the sample of 36 buses will be between 59 minutes and 61 minutes.
P ( 59 < X < 61 )
Standardizing the value
Z = -1
Z = 1
P ( -1 < Z < 1 )
P ( 59 < X < 61 ) = P ( Z < 1 ) - P ( Z < -1 )
P ( 59 < X < 61 ) = 0.8413 - 0.1587
P ( 59 < X < 61 ) = 0.6827
(c) How likely is it the average time will exceeds 61 minutes?
P ( X > 61 ) = 1 - P ( X < 61 )
Standardizing the value
Z = 1
P ( Z > 1 )
P ( X > 61 ) = 1 - P ( Z < 1 )
P ( X > 61 ) = 1 - 0.8413
P ( X > 61 ) = 0.1587