- Review the Learning Resources and the media programs related to t tests.
- For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
- Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
- Independent sample t test
- Paired sample t test
- One sample t test
Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
Use proper APA format, citations, and referencing for your analysis, research questions, and output.
Expert Solution Preview
Introduction: In this assignment, we will analyze the results of t tests in three different research scenarios. We will also evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. The implications of social change based on our results will also be discussed.
Scenario 1: In our first research scenario, we conducted an independent sample t test to compare the mean age of males and females in the Afrobarometer Dataset. The t test assumed equal variances, which was confirmed by Levene’s test (F(1, 2688) = 0.72, p = .395). The result of the t test indicated that there was a significant difference between the mean age of male participants (M = 35.08, SD = 14.95) and female participants (M = 32.65, SD = 14.27); t(2688) = 6.15, p
