You will review the theory, logic, and application of t tests. The t test is a basic inferential statistic often reported in psychological research. You will discover that t tests, as well as analysis of variance (ANOVA), compare group means on some quantitative outcome variable.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
- Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
- Develop a conclusion that includes strengths and limitations of an independent-samples t test.
- Competency 2: Analyze the decision-making process of data analysis.
- Analyze the assumptions of the independent-samples t test.
- Competency 3: Apply knowledge of hypothesis testing.
- Develop a research question, null hypothesis, alternative hypothesis, and alpha level.
- Competency 4: Interpret the results of statistical analyses.
- Interpret the output of the independent-samples t test.
- Competency 5: Apply a statistical program’s procedure to data.
- Apply the appropriate SPSS procedures to check assumptions and calculate the independent-samples t test to generate relevant output.
- Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
- Develop a context for the data set, including a definition of required variables and scales of measurement.
- 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 consistent with the expectations for members in the identified field of study.
Read Assessment 3 Context [DOC] for important information on the following topics: