90% confidence interval for the mean airborne time for flights from San Francisco to Washington Dulles is (264.639, 275.5066), if 10 randomly selected flights from San Francisco to Washington Dulles airport.
In statistics, a confidence interval describes the likelihood that a population parameter would fall between a set of values for a given percentage of the time. An area created using fixed-size samples of data from a population (sample space) that follows a particular probability distribution is known as a confidence interval. A selected population statistic is built into the interval with a specified probability.
Given,
Airborne times (in minutes) for 10 randomly selected flights from San Francisco to Washington Dulles airport.
269 255 267 285 274 275 266 258 271 281
Sample mean = 270.10
Standard deviation = 9.326
Sample size = 10
Confidence level = 90%
Formula:
Confidence interval
= x ± tₐ₎₂(s/√n)
= 270 ± 1.833(9.326/√10)
= 270.1 ± 5.4066
= (264.639, 275.5066)
90% confidence interval for the mean airborne time for flights from San Francisco to Washington Dulles is (264.639, 275.5066), if 10 randomly selected flights from San Francisco to Washington Dulles airport.
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