T-TEST APPLICATION AND INTERPRETATION

Step 1: Write Section 1 of the DAA: The Data Analysis Plan

• Name the variables used in this analysis and whether they are categorical or continuous.
• State a research question, null hypothesis, and alternate hypothesis for the independent samples t-test.

Step 2: Write Section 2 of the DAA: Testing Assumptions

Test for one of the assumptions of t tests – homogeneity of variance.

• Create SPSS output showing the Levene's Test for Equality Variances. Run the Levene's test on the dependent variable test for the entire sample. Do not split the data up by review session before running the homogeneity test.
• Paste the table in the DAA.
• Interpret the Levene's test.

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

Paste the SPSS output of the t test. Below the output:

• Report the means and standard deviations for each group.
• State the results of the t-test using the "Assume equal variances" row.
• Interpret the statistical results against the null hypothesis and state whether it is rejected or not rejected.

Step 4: Write Section 4 of the DAA: Statistical Conclusions

• Provide a brief summary of your analysis and the conclusions drawn about this t test.
• 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 the independent samples t test in your field of study.

• Name an independent variable and dependent variable that would work for such an analysis and why studying it 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.