Project 2 focuseson CFIs' experience as a flight instructor. The dataset for the project 2 isgiven in the Excel file "Project 2 Data" and consists of two setsof complacencyscores. The first set of scores wascollectedfrom a groupof first-year CFIs. The second set of scores was collected from the same group of CFIs 10years later to see if their tendency toward complacency as a flight instructorchangedasaresult oftheexperiencetheygainedoverthe past10 years.

As a reminder, the initialdata set consists of the following 10 independent variables (IVs) and one dependentvariable (DV):

X₁=Participants'gender

X₂ = Participants' age in yearsX₃ =Participants' race/ethnicityX₄=Participants'maritalstatus

X₅=Participants' highest level of education

X₆=Totalyearsparticipants haveheld a CFIcertificate

X₇=Participants'total hoursdualgiven

X₈=Participants'totalhoursdualgiveninprevious90days

X₉=Participants'totalflighttime(inhours)

X₁₀=Typesofcertificatesparticipantscurrenthold

Y= Complacency scores, which weremeasured on a 7-item Likert scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree. Thus, scores could rangefrom 7 to 35, with higher scores indicating a greater likelihood towardcomplacencyasaflight instructor.

Project 2 1. What is the intervention and why is this considered a repeated measures design? 2. What is the overall RQ? 3. What research methodology do you think is appropriate for this study? Explain. 4. Summarize the descriptive statistics for this study using the following APA compliant table. (Round to two decimal places.) Group N M SD Range (L-H) Pre-Assessment Post-Assessment Overall 5. Perform an a priori power analysis to determine the minimum sample size needed. Is the given data set sufficient relative to this minimum sample size? In what way do you think the size of the given sample will impact the results? 6. Conduct a corresponding hypothesis test as follows: a. Formulate the null and alternative hypotheses in symbols and words. b. Determine the test criteria. c. Test for the assumptions of the repeated measures t test. d. Run the analysis and record the results. e. Make a decision to reject or fail to reject the null hypothesis and write a concluding statement. 7. Determine and interpret the estimated effect size, d. S. Determine and interpret the power of the study. 9. Determine and interpret the 95% confidence interval. 10. Present at least three plausible explanations for the results. 11. Conduct an outlier analysis on the difference scores using Jackknife distances, eliminate the outliers (there should be seven outliers), and rerun the analysis. Do you get the same (or similar) results? For your final report, would you keep or delete the outliers? Why/Why not