Statistical Techniques Final Project

You need to analyze data You need to analyze data pair 7 (counseling_debt). I have attached the data, you need to use R-studio to open the data that is attached. Please look over the document very carefully. Only do the "Methods" part of the paper.

Research Scenario: For our final projects, we're going to use data to answer a real-world problem. Increasing numbers of undergraduate students are making the decision to pursue graduate education in psychology. A study published by Doran, Kraha, Reid Marks, Ameen, and El-Ghoroury (2016) examines student debt incurred as a result of psychology graduate study, as well as starting salaries for graduate degree holders. In this assignment, we will analyze simulated data based on those results. Please note that the data is uploaded to Canvas-you only need to open it in R and get started.

Data: There are ten pairs of data below, each representing a specific sample of the dataset-Ph.D., Psy.D., Clinical Psychologists, etc. Each pair has two variables, one corresponding to debt and the other to starting salaries.

Each individual will analyze data on one of these sets of data-please choose whatever pair most interests you, but don't overlap with others in your group. For example, say that I am an undergraduate student considering going into a Counseling Psychology Ph.D. program. I should select Pair 7 above, as it involves analysis of debt to get this degree as well as the salary I can expect upon completion of that degree. I'll first look for outliers in my Counseling_Debt and Counseling_ Salary variables. Next, I'll assess normality in both variables, followed by central tendency and variability analyses in R.

As a group, you will write up these results in a short APA style report-you'll need all paper sections (introduction, method, results, discussion, and references). Your introduction should introduce the topic of student debt using a peer-reviewed article, but it does not have to be about psychology debt specifically. Your method section should briefly describe how Doran et al. (2016) collected the data, and should go a step further to state that you are not analyzing the actual data from this paper, but simulated data based on those results. You should give your total sample size. Your results will include information from each team member on outlier and normality analyses in addition to central tendency and variability info. The discussion section should summarize results, connect them to the larger picture using at least one peer reviewed article, and briefly discuss limitations and future directions.

Analysis. You have several analysis questions to address here. They are listed below-

1. Are there any outliers? If so, what will you do with them?

2. Does my data fit a normal distribution?

3. What does the central tendency of each variable look like? Which measure of central tendency should you use in your reporting?

4. What does the variability of each variable look like? Which measure of variability should you use in your reporting?

Attachment:- Assignment.rar