t-Test Application and Interpretation

Running head: DATA ANALYSIS AND APPLICATION TEMPLATE 1

1

Data Analysis and Application Template

Learner Name

Capella University

Data Analysis and Application Template

Data Analysis Plan

· Name the variables used in this analysis and whether they are categorical or continuous.

The variables are:

1-review: Attended review sessions? 1 = no; 2 = yes

2- Final: Final exam: number of correct answers.

· State a research question, null hypothesis, and alternate hypothesis for the independent samples  t-test.

Testing Assumptions

Assumption Checks

Assumption Checks

Test of Equality of Variances (Levene's)
	F	df1	df2	p
final		0.740		1		103		0.392

· Using the table, interpret the Levene’s Test; determine if the assumption of homogeneity is violated or is not violated.

Results & Interpretation

Using both tables:

Descriptives

Group Descriptives
	Group	N	Mean	SD	SE	Coefficient of variation
final		Attended review session		55		61.545		7.356		0.992		0.120
		Did not attend review session		50		62.160		7.993		1.130		0.129

Independent Samples T-Test
	t	df	p
final		-0.410		103		0.682
Note.  Student's t-test.

· Report the means and standard deviations for each group. Interpret the t-test results against the null hypothesis.

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

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.

References

Provide references in proper APA Style if necessary.