Explain statistical conclusions, the limitations of the test, and possible alternative explanations.

I have attached many files that you will need to use and review for this assignment. Please look over all attached files. Detailed steps for completing this are provided in the attached instructions. If you need anything else please let me know quickly.
I have attached the previously completed data set assignment from week 2 (this is currently week 4) … you might need this completed week 2 assignment handy to complete this correlation application and interpretation assignment.
Follow *closely* to the DISTINGUISHED category of the scoring guide for this assignment.
Follow the template I provided for you (also attached).
grades.sav is attached (if you need that).
Complete the following for this assignment:
For this assignment, you will use the Data Analysis and Application template (DAA Template [DOC]).
For help with SPSS, refer to Step-by-Step SPSS: Correlations [DOCX].
For help copying SPSS output into your DAA review the Copy/Export Output Instructions [HTML].
Click on the “SPSS Speedrun” button to watch a brief tutorial video on this assignment.
Click here to watch the video
Click on the “Deeper Dive” button to watch a longer video on how to interpret the SPSS output.
Click here to watch the video
For information on the data set, you may find the Data Set Instructions [DOCX] helpful.
Refer to the 7864 Course Study Guide [PDF] for information on analyses and interpretation.
The grades.sav file is a sample SPSS data set. The data represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.
This week’s assignment is on correlations. You will analyze the following variables in the grades.sav data set:
SPSS Variable Definition
Quiz1 Quiz 1: number of correct answers
GPA Previous grade point average
Total Total number of points earned in class
Final Final exam: number of correct answers
Step 1: Write Section 1 of the DAA: The Data Analysis Plan
Name the four variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for total and final.
State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1.
Step 2: Write Section 2 of the DAA: Testing Assumptions
Test for one of the assumptions of correlation – normality.
Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above.
Paste the table in the DAA.
Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated.
Step 3: Write Section 3 of the DAA: Results and Interpretation
Paste the intercorrelation matrix (SPSS Correlation table) for the four variables into the document.
Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
Step 4: Write Section 4 of the DAA: Statistical Conclusions
Provide a brief summary of your analysis and the conclusions drawn about correlations.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.
Step 5: Write Section 5 of the DAA: Application
Analyze how you might use correlations in your field of study.
Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.
Submit your DAA template as an attached Word document in the assignment area.
Competencies Measured
By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and assignment criteria:
Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
Analyze statistical assumptions.
Competency 2: Analyze the decision-making process of data analysis.
Articulate the data analysis plan.
Competency 3: Apply knowledge of hypothesis testing.
Interpret statistical results and hypotheses.
Competency 4: Interpret the results of statistical analyses.
Explain statistical conclusions, the limitations of the test, and possible alternative explanations.
Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
Analyze the potential applications of the test in the field and their implications.
Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
Communicate in a manner that is scholarly, professional, and adheres to APA style and formatting.
Resources
Correlation Application and Interpretation Scoring Guide. (attached).

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