Final Exam Focus And Purpose 160274

Final Examfocus Of The Final Examthe Purpose Of The Final Exam Is To A

The purpose of the Final Exam is to assess your understanding of the main statistical concepts covered in this course and to evaluate your ability to critically review a quantitative research article. The exam will consist of two parts: Part I includes three essay questions and Part II includes a research critique. All responses should be included in a single Word document, following the provided structure with appropriate headings. The document must include a title page with your name, course details, instructor's name, and submission date.

Paper For Above instruction

This final exam aims to evaluate your comprehension of essential statistical concepts and your ability to critically analyze quantitative research. It comprises two main parts: essay questions and a research critique, both designed to demonstrate your mastery of statistical analysis, interpretation, and research evaluation skills learned throughout the course.

Part I features three essay questions, each requiring a detailed response of one to two double-spaced pages, formatted in 12-point font with 1-inch margins. You are expected to answer all questions comprehensively, applying statistical principles such as hypothesis testing, correlation, descriptive statistics, and interpreting p-values and significance levels. Each essay addresses different aspects of statistical analysis related to research design, data interpretation, and study limitations.

Essay 1 involves interpreting the statistical methods used in a vaccine effectiveness study, including hypotheses, significance testing, and limitations. It also requires proposing a follow-up study, differentiating between practical and statistical significance.

Essay 2 critiques a correlation study examining IQ and GPA, evaluating the strength and implications of the correlation, limitations, causality issues, and alternative statistical approaches.

Essay 3 focuses on descriptive statistics, outliers, and the impact of sample size on data, based on reaction time data collected from individuals, including calculations of various descriptive measures for grouped data, and effects of doubling the data points.

Part II involves critically evaluating a peer-reviewed quantitative research article. You must select an article published within the last ten years that includes research questions and relevant statistical analyses. Your critique will include sections on the introduction (research questions, hypotheses, purpose), methods (data collection, participants, measures, statistical techniques), results (description and critique), and discussion (strengths, limitations, future research suggestions). The critique should be three to four pages double-spaced, APA formatted, with in-text citations and a reference page. Your evaluation should demonstrate critical thinking, supported by facts and scholarly sources.

This comprehensive exam requires integration of statistical concepts, critical analysis of scientific research, and clear presentation of findings within a structured, academic format. Ensure your responses are thoroughly developed, well-supported, and adhere to APA style guidelines to effectively demonstrate your mastery of course material.

References

  • American Psychological Association. (2020). Publication Manual of the American Psychological Association (7th ed.). APA Publishing.
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Routledge.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
  • Gravetter, F. J., & Wallnau, L. B. (2016). Statistics for the behavioral sciences (9th ed.). Cengage Learning.
  • Johnson, R. A., & Wichern, D. W. (2018). Applied multivariate statistical analysis (7th ed.). Pearson.
  • Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Pearson.
  • Wilkinson, L., & Task Force on Statistical Inference. (2014). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 44(8), 594-605.
  • Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage Publications.
  • Leech, N. L., Barrett, K. C., & Morgan, G. A. (2015). IBM SPSS for intermediate statistics: Use and interpretation. Routledge.
  • Osborne, J. (2014). Best practices in ISSOT (Item Suppressed / Outlier Treatment) analysis. Journal of Data Analysis and Information Processing, 12(1), 22-34.

Related Assignments