Air traffic controllers have the crucial task of ensuring that aircraft don't collide. To do this, they must quickly discern when two planes are about to enter the same air space at the same time. They are aided by video display panels that track the aircraft in their sector and alert the controller when two flight paths are about to converge. The display panel currently in use has a mean "alert time" of 15 seconds. (The alert time is the time elapsing between the instant when two aircraft enter into a collision course and when a controller initiates a call to reroute the planes.) According to Ralph Rudd, a supervisor of air traffic controllers at the Greater Cincinnati International Airport, a new display panel has been developed that uses artificial intelligence to project a plane's current flight path into the future. This new panel provides air traffic controllers with an earlier warning that a collision is likely. It is hoped that the mean "alert time," μ, for the new panel is less than 8 seconds. In order to test the new panel, 15 randomly selected air traffic controllers are trained to use the panel and their alert times for a simulated collision course are recorded. The sample alert times (in seconds) are: 6.2, 6.3, 8.0, 7.5, 8.8, 5.5, 8.7, 5.2, 6.8, 5.9, 8.3, 6.2, 5.5, 5.2, 6.5.
(a) Using the fact that x ¯ x¯ = 6.6 and s = 1.209, find a 95 percent confidence interval for the population mean alert time, μ, for the new panel. (Round your answers to 3 decimal places.) The 95 percent confidence interval is from to .
(b) Can we be 95 percent confident that μ is less than 8 seconds? , both endpoints of the 95% confidence interval are below 8 seconds.
(A) It is given that
x(bar) = 6.6 and s = 1.209
we have to find the 95% confidence interval
sample size n = 15
degree of freedom = n-1 15 - 1 = 14
so, t critical(0.05,14) = 2.14 {using t table}
Formula for confidence interval is given as
setting the given values, we get
Therefore, 95% confidence interval is (5.932,7.268)
(B) When population mean is contained in the confidence interval, we fail to reject the null hypothesis and when the population mean is not contained in the confidence interval, we reject the null hypothesis.
Since the population mean value of 8 second is not falling inside the confidence interval, this means that we can reject the null hypothesis and we can conclude that population mean is less than 8 seconds.
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