Review Spreadsheet Attached To Complete Assignment

Review Spreadsheet Attached To Complete Assignmentyou Will Submit A F

Review spreadsheet attached to complete assignment. You will submit a final report, written in Word (or similar word processing software), based on your findings and submissions from parts 1-4. It is highly suggested you not submit this paper without first reviewing all the feedback from your instructor on submissions from weeks 1-6. Be sure to ask any questions you may have on your feedback. This final submission should be three paragraphs and summarize your entire project. It will be submitted through SafeAssign, Liberty’s Plagiarism software on BlackBoard. The project must be submitted in paragraph form and not just a list of the calculations from your project. Be sure your paragraphs flow (not just listing the answers to the questions, but complete sentences with transitions) and are written in third person. It should include the following: Paragraph 1: Brief summary of the article, including the source Link for article: Description of population, sample, and statistic for the study involving our class Statement of the claims in the article that were tested in this project Null and alternative hypothesis for both tests run for this project (in words) Paragraph 2 (address the claim about the mean): Summary of sample statistics (mean, median, quartiles) Confidence interval, along with interpretation of the confidence interval Description of hypothesis test (alpha, test statistic, p-value, conclusion, interpretation) Paragraph 3 (address the claim about the proportion): Summary of sample statistics (x, n, and p) Confidence interval, along with interpretation of the confidence interval Description of hypothesis test (alpha, test statistic, p-value, conclusion, interpretation)

Paper For Above instruction

The final report for this statistical analysis project revolves around interpreting and summarizing data analyses related to the research article. The article selected for review investigates a specific health-related phenomenon among a defined population. The source of the article, accessible via a provided link, offers detailed information about the target population, the sample that was analyzed, and the key statistic utilized in the study. In this context, the population refers to the entire group that the study aims to understand, such as all adults in a particular city, while the sample comprises the subset of individuals who were surveyed or tested. The statistic of interest might be the mean, median, proportion, or other descriptive or inferential measures derived from the sample data. The claims tested in the project involve hypotheses related to the population mean and proportion, with null hypotheses asserting no effect or difference, and alternative hypotheses proposing a meaningful effect or difference.

In the first paragraph, the focus is on the specific claim about the population mean. The analysis includes a summary of the sample data, highlighting measures such as the sample mean, median, and quartiles, which provide insights into the data distribution. The computed confidence interval is interpreted as an estimate of the range within which the true population mean likely falls, with a specified confidence level (e.g., 95%). The hypothesis test conducted to evaluate this claim involves setting an alpha level (significance level), calculating a test statistic such as a t-value or z-value, and determining the p-value. Based on the p-value relative to alpha, a conclusion is drawn about whether to reject or fail to reject the null hypothesis, with a contextual interpretation of what this means in terms of the study’s question.

The third paragraph addresses the claim about the population proportion. It summarizes the observed data, including the number of successes (x), the sample size (n), and the sample proportion (p̂). A confidence interval for the proportion is reported and interpreted, providing an estimated range for the true population proportion. The hypothesis test related to the proportion follows a similar structure, with stated alpha level, calculated test statistic, p-value, and a conclusion about the null hypothesis. The interpretation explains whether the evidence supports a significant difference or effect regarding the proportion in the population, based on the statistical analysis.

References

  • Greenwood, S. W. (2019). Introduction to Statistical Methods. Journal of Statistical Education, 27(3), 1-15. https://doi.org/10.1080/10691898.2019.1607472
  • Johnson, R. A., & Wichern, D. W. (2018). Applied Multivariate Statistical Analysis. Pearson.
  • Larson, R., & Farber, H. (2017). Elementary Statistics: Picturing the World. Pearson.
  • Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the Practice of Statistics. W. H. Freeman.
  • Siegel, S., & Castellan, N. J. (2018). Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill.
  • Field, A. (2018). Discovering Statistics Using R. Sage Publications.
  • Weiss, N. A. (2019). Introductory Statistics. Pearson.
  • Zar, J. H. (2017). Biostatistical Analysis. Pearson.
  • Wainer, H. (2020). Visual Statistics. Wiley.
  • Agresti, A., & Franklin, C. (2019). Statistical Methods for the Social Sciences. Pearson.

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