For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

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‘ve attached all the information from the course and the template. The data needed for this course is in the grades.sav file.

For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.

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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.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.