Question

In an effort to reduce boarding time, an airline tries a new method of boarding its planes. Historically, only 32% of passengers were satisfied with the boarding process. A random sample of 33 passengers using the new boarding process found 47% who said they were satisfied with the boarding process, yielding a test statistic of 1.8473.

(a) What is the p-value of the hypothesis test to determine if this new boarding process resulted in improved passenger satisfaction? (4 decimals)

(b) What is the meaning of a Type I error in this context? The airline concludes _______ proportion of passengers were satisfied, when in reality, _____ proportion of passengers were satisfied.

(c) Which significance level would minimize the likelihood of making a Type I error?

α = 0.01

α = 0.10

Answer 1