Statistics Analysis Application

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Statistics Analysis Application

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StatisticAnalysisapplicationwithtamplate.docx

Data Analysis and Application Template.

Data Analysis Plan

Insert text here.

Testing Assumptions

Insert text here.

Results & Interpretation

Insert text here.

Statistical Conclusions

Insert text here.

Application

Insert text here.

· Complete a data analysis report to analyze correlation for assigned variables.

Introduction

Exploring the associations between some variables in the courseroom using correlations might provide some important information about learner success. You’ll need to pay attention to both magnitude, which is the strength of the association, and directionality, which is the direction (positive or negative) of the association. During this assessment, you’ll start learning about how to best approach correlational analyses like these and start getting some answers. You'll explore the relationships that may or may not exist in your courseroom data.

In this assessment, you'll get a chance to run and interpret your first inferential statistics analysis: correlations. Your readings and the Course Study Guide will help you in your efforts.

Instructions

For this assessment, you will use the Data Analysis and Application template ( DAA Template [DOCX] ).

· For help with statistical software, refer to the  JASP Step-by-Step: Correlations [PDF]  document.

· View  JASP Speedrun: Correlations [Video]  for a brief tutorial video on this assessment.

· Refer to the  7864 Course Study Guide [PDF]  for information on analyses and interpretation.

· For information on the data set, refer to the  7864 Data Set Instructions [PDF]  document.

The  grades.jasp file is a sample 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.

This assessment is on correlations. You will analyze the following variables in the  grades.jasp data set:

Variable

Definition

Quiz 1

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

Variables and Definitions

The  DAA Template [DOCX]  has five sections:

· Data Analysis Plan.

· Testing Assumptions.

· Results & Interpretation.

· Statistical Conclusions.

· Application.

Step 1: Write Section 1 of the DAA: 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 the total-final correlation.

· State a research question, null hypothesis, and alternate hypothesis for the gpa-quiz1 correlation.

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 the statistical software to assess normality. This table should include the four variables named above including skew and kurtosis for each variable.

· Paste the table in the DAA template.

· Interpret the skewness and kurtosis values and determine whether the assumption of normality was violated or not violated.

Step 3: Write Section 3 of the DAA: Results & Interpretation

· Using the statistical software, paste the intercorrelation matrix 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 completed DAA Template as an attached Word document in the assessment area.

Software

The following statistical analysis software is required to complete your assessments in this course:

· Jeffreys's Amazing Statistics Program (JASP) .

Refer to the  Tools and Software: JASP  page on Campus for general information. Make sure that your statistical software is downloaded, installed, and running properly on your computer.

Competencies Measured

By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:

· Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.

24. Analyze statistical assumptions.

· Competency 2: Analyze the decision making process of data analysis.

25. Articulate the data analysis plan.

· Competency 3: Apply knowledge of hypothesis testing.

26. Interpret statistical results and hypotheses.

· Competency 4: Interpret the results of statistical analyses.

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

· Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.

28. 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.

29. Communicate in a manner that is scholarly and professional, and adheres to APA style and formatting.

RUBRICES

1, Articulate the data analysis plan. Accurately articulates the data analysis plan. Ensures the plan is well justified, logical, and thorough.

2, Analyze statistical assumptions. Accurately analyzes and thoroughly evaluates and assesses statistical assumptions.

3, Interpret statistical results and hypotheses. Accurately interprets statistical results and hypotheses, and ensures the results are thoroughly evaluated and assessed.

4, Explain statistical conclusions, the limitations of the test, and/or possible alternative explanations. Thoroughly evaluates potential applications of the test in the field and their implications.

5, Communicate in a manner that is scholarly and professional, and adheres to APA style and formattin. Exhibits strict and nearly flawless adherence to organizational, professional, and scholarly writing standards, including APA style and formatting.