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: Analyze the computation, application, strengths, and limitations of various statistical tests.

You will review the theory, logic, and application of tests. The test is a basic inferential statistic often reported in psychological research. You will discover that tests, as well as analysis of variance (ANOVA), compare group means on some quantitative outcome variable.

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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 test.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze the assumptions of the independent-samples 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 test.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures to check assumptions and calculate the independent-samples 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:

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