STUDY: A major airline wants to know if pilots make significantly more errors and more serious errors when they are under a particular stress (e.g., if their airplane is hijacked while in flight). The airline also wants to know if pilots' years of experience is a factor. The following research is set up. A 767 flight simulator is used. All of the pilot's behavior is monitored, so that the number of errors made by the pilot can be easily read off the computer record. The seriousness of each error is judged later by master pilots using a 25-point scale (interval) of seriousness. The participants are jetliner pilots with experience ranging from 1 to 20 years of commercial piloting. The participants are randomly assigned to two conditions, and the years of experience is the same for both groups.
All pilots simulate take-off from New York, a two-and-a-half hour flight at 32,000 feet cruising altitude, and a landing at Miami. The pilots are told that their job rating depends on how well they handle this simulated flight, and it is impressed on them that they are to do everything as if this were a real flight. In the experimental condition, two masked "passengers" break into the cockpit 45 minutes into the flight and, aiming guns at the pilots, demand to be taken to Miami for refueling, a payment of a million dollars, and then, flown to Cuba. They threaten to kill some of the passengers and then the pilots and themselves if anything goes wrong. The control group has no "hijacking" and proceeds to Miami without incident.
Given the four hypotheses below, what statistical procedures are appropriate to use?
Hypothesis 1: There will be more errors in the hijack condition.
Hypothesis 2: Seriousness will be greater in the hijack condition.
Hypothesis 3: In the hijack condition there will be an inverse relationship between years of experience and number of errors.
Hypothesis 4: In the hijack condition, there will be an inverse relationship between years of experience and seriousness of errors.
A) ANOVA for all of the hypotheses
B) ANOVA; ANOVA; correlation coefficient; correlation coefficient
C) t-test; Pearson r; Spearman r; chi-square
D) chi-square; Spearman r; Pearson r; t-test
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