C. Post-Data Analysis 1. Determine and interpret the effect size, r, from both explained variance and predic- tion perspectives. 2. Determine and interpret the 95% confidence interval, including its precision and AIPE. 3. Determine and interpret the power of the study from a post hoc perspective. 4. Present at least two plausible explanations for the results.

Bell et al. (1995) examined the relationship between pilot experience and aviation safety. They defined pilot experience as pilots' total flight hours in all aircraft, and they defined aviation safety as scores on the Aviation Safety Index (ASI), which con- sisted of five safety-related statements that correspond to behaviors associated with preflight preparation. The five statements are given below. 1. I do a thorough walk-around inspection of an aircraft before I fly it. 2. 3. 4. I compute fuel requirements with an eye toward a 30- or 45-minute fuel reserve. I check the weather thoroughly before I fly (even on local flight). I use a checklist for interior and exterior inspection of an aircraft. 5. I compute takeoff and landing distances as well as runway lengths at airports of intended use for each flight.

Respondents were asked to self-assess the degree to which they performed each behavior using a 7-item bipolar adjective scale with "Never" at one end of the scale, which was scored 1, and "Always" at the other end of the scale, which was scored 7. Thus, aggregate scores could range from 5 to 35, with higher scores indi- cating more safety conscious pilots. The file Ch_6 Exercises Part B Data contains a set of hypothetical data that represents a pseudo replication of Bell et al. You are to import this data set into your statistics program and do the following (see also Section 6.6):