A. Pre-Data Analysis 1. Specify the research questions and corresponding operational definitions.

2. Specify the research hypotheses.

3. Determine the appropriate research methodology/design and explain why it is appropriate.

4. Conduct an a priori power analysis to determine the minimum sample size needed.

Compare this result to the size of the given data set and explain what impact the size of the given sample will have on the results relative to the minimum size needed.

This research study is an extension of the guided example given in Section 12.3. Let’s assume that Delta Air Lines reports the following information about seat preferences among U.S. travelers who took a Delta flight to/from at least one domestic airport during the past 3 months:
• 30% prefer an aisle seat • 20% prefer a window seat • 20% prefer an exit row seat • 10% prefer a middle seat • 10% prefer to sit in Delta Comfort Plus 10% prefer to sit in the main cabin Let’s further assume that you randomly surveyed 400 Delta passengers with similar flight experiences and asked them to specify their primary seat preference. A copy of these data is contained in the file titled “Ch_12 Exercises Part B Data.” For the reader’s convenience these data are summarized in the table below.

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Seat Preference f Aisle 125 Window 77 Exit Row 90 Middle 31 Delta Comfort Plus 42 Main Cabin 35