Question 6 (1 point)
Suppose you are a civil engineer, specializing in traffic volume control for the City of Grand Rapids. Your department has been receiving a multitude of complaints about traffic wait times for a certain intersection in the heart of downtown. To see if these claims are valid, you want to monitor the true average wait time at that intersection. Over the course of a few months, you record the average number of minutes a car waits at the intersection between 4:00 PM and 5:00 PM. With a sample size of 14 cars, the average wait time is 7.864 minutes with a standard deviation of 2.1643 minutes. Construct a 99% confidence interval for the true average wait time for a car at the intersection between 4:00 PM and 5:00 PM.
Question 6 options:
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Solution :
Given that,
Point estimate = sample mean = = 7.864
sample standard deviation = s = 2.1643
sample size = n = 14
Degrees of freedom = df = n - 1 = 14 - 1 = 13
At 99% confidence level
= 1 - 99%
=1 - 0.99 =0.01
/2
= 0.005
t/2,df
= t0.005,13 = 3.012
Margin of error = E = t/2,df * (s /n)
= 3.012 * (2.1643 / 14)
Margin of error = E = 1.742
The 99% confidence interval estimate of the population mean is,
± E
= 7.864 ± 1.742
= ( 6.122, 9.606 )
correct option is = 4)
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