In this assessment, you’ll begin to explore mean group differences in your courseroom data. Is it possible that being in a particular group results in higher or lower mean achievement levels? You’re going to explore possible differences in final exam scores for students who attended a review session versus students who did not attend a review session.
Instructions
For this assessment:
- Use the Data Analysis and Application template ().
- For help with the statistical software, refer to the document.
- View
- document.
The 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.
You will analyze the following variables in the data set:
Variables and Definitions
| Variable | Definition |
|---|---|
| Review | Attended review sessions? 1 = no; 2 = yes. |
| Final | Final exam: number of correct answers. |
Step 1: Write Section 1 of the DAA: 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 equality (homogeneity) of variances.
- Create statistical output showing the Levene’s Test for Equality Variances.
Paste the table in the DAA template.
Interpret the Levene’s test.
Step 3: Write Section 3 of the DAA: Results & Interpretation
- If the homogeneity assumption is not violated (Section 2), run the Student version of the independent samples t-test in the statistical software.
- If the homogeneity assumption is violated, run the Welch version of the independent samples t-test in the statistical software.
- Also run the Descriptives option to obtain the means and standard deviations for each group.
Paste the statistical software output of the t test into the DAA template. Below the output:
- Report the means and standard deviations for each group.
- State the results of the t test.
- 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 assessment area.

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