I need to use the following research description and corresponding variables from the dataset to perform a decision:

The data file contains a subset of actual research data from Dunbar (2015), who examined the effect various factors had on CFI complacency. The factor that is the focus of this assignment is X = Hours Dual Given, which is the total number of hours of instruction time a CFI has provided in a simulator and/or in an airplane. The dependent variable, Y = Complacency Scores, was measured using a 7-item Likert response scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree. Thus, scores could range from 7 to 35, with higher scores indicating a greater trend toward complacency. I need you to determine if there is any difference in CFIs' level of complacency between Fledgling CFIs. Defined as those who have fewer than 2,000 hours dual given vs. Experienced CFIs, defined as those who have at least 2,000 hours dual given. You are to presume that Fledgling CFIs will have a lower complacency level because they are still learning their trade and strive to be as vigilant as possible, whereas Experienced CFIs will have a higher complacency level because they have been training flight students for a longer period of time and might tend to become "cocky" and/or "slack off" in their instruction. A . Pre-Data Analysis 1. Specify the research question 2. Specify the research hypothesis. 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. (In order to answer this question, please complete and include the table below with the requested parameters.)

B. Data Analysis 1. Analyze the given data set relative to a hypothesis test of the difference in two group means: Step 1: Identify the targeted parameter and, formulate Null and Alternative Hypotheses Step 2: Test Criteria (Test Statistic, Significance Level, df, Critical Value)

Step 3: Check Assumptions (Independence, Normality, and Variance) and Conduct Analysis Step 4: Make A Decision (Whether you reject or fail to reject based on computed value) and Concluding Statement (Interpret the results - this has to be done in a similar format that has been provided in the guided example and also provide the table below).

C. Post-Data Analysis 1. Determine and interpret the effect size, Cohen's estimated d. 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. (In order to answer this question, please fill out the following table (2 points) and interpret what the Power means.