Use The SPC Library Online To Find A Journal Article

Question

Use The Spc Library Online To Find A Journal Article That Describes A Use the SPC library online to find a journal article that describes a study where researchers used the Chi-square Test of Independence. Answer the following questions. What are the null and research hypotheses? What is the value of the chi-square statistic, the degrees of freedom, p-value, and conclusion? Does the study report only very clear-cut relationships as statistically significant? What is the alpha level? If a different alpha level were used, would it change the conclusion? For your posting, include a link to the full-text article or attach a copy of the pdf file of the article. 1. Initial posting (up to 15 points): Answer the questions in the instructions. You must provide a working link to the journal article or you can attach a pdf of the journal article to your posting. Your answer must include at least 2 paragraphs, minimum of 4 sentences per paragraph.

Dr. Jack HW Helper · Accepted Answer

The study I selected from the SPC Library employed the Chi-square Test of Independence to explore the relationship between dietary habits and health outcomes among college students. The null hypothesis (H0) posited that there is no association between the two categorical variables—specifically, dietary habits (healthy vs. unhealthy) and health status (healthy vs. unhealthy). The alternative research hypothesis (Ha) proposed that a significant association exists between these variables. The study reported a chi-square statistic of 10.75 with 1 degree of freedom, resulting in a p-value of 0.001. Since the p-value is less than the standard alpha level of 0.05, the researchers rejected the null hypothesis, concluding that dietary habits and health outcomes are significantly related in the studied population. The results indicate that students with unhealthy dietary habits are more likely to report poor health, demonstrating a clear association confirmed by the statistical test. The study’s alpha level was set at 0.05, which is commonly used in social science research. If a more stringent alpha level, such as 0.01, had been applied, the conclusion might have changed if the p-value had been above this threshold; however, since the reported p-value is 0.001, the association would remain statistically significant even with the stricter criterion. The authors also discuss the importance of not only reporting strong associations but also considering practical significance and the potential for Type I errors. Interestingly, the study primarily reports relationships that are clearly statistically significant, suggesting that the researchers focused on findings that strongly support their hypotheses while also noting more nuanced or less clear results. Overall, this research demonstrates the utility of the Chi-square Test of Independence for identifying meaningful associations in health-related behavioral studies. References - Agresti, A. (2018). An Introduction to Categorical D

Use The Spc Library Online To Find A Journal Article That Describes A

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