Use Data You Downloaded In Your Projects
Use Data You Downloaded In Yourw1 Projectsuppose You Have Informatio
Use data you downloaded in your W1 project. Suppose you have information that the average stress score of students in online universities is 13.15. Using Microsoft Excel, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students. Move your output into a Microsoft Word document. Write one paragraph to explain how you located and determined the critical value of t, and how you determined whether your obtained t-statistic was significant. Write a 1-paragraph, APA-formatted interpretation of the results modeled on the example given in your lecture.
Paper For Above instruction
The process of conducting a one-sample t-test in Microsoft Excel begins with establishing the null hypothesis (H₀), which posits that there is no significant difference between the sample mean stress score and the population mean of 13.15. To determine the critical value of t, we first identify the significance level (commonly α = 0.05) and the degrees of freedom, calculated as the sample size minus one (df = n - 1). Using Excel's T.INV.2T function, we input the significance level and degrees of freedom to obtain the two-tailed critical value of t. Comparing the absolute value of our calculated t-statistic to the critical value allows us to determine significance; if the t-statistic exceeds the critical value, we reject the null hypothesis, indicating a significant difference. Conversely, if it does not, we fail to reject H₀, suggesting no significant difference exists between our sample and the population.
Based on our analysis, the calculated t-statistic was [insert t-value], while the critical value was [insert critical t-value]. Since our t-statistic [was/is not] greater than the critical value, [we reject/fail to reject] the null hypothesis. This indicates that the stress scores reported by our sample [are/are not] significantly different from the known population mean of 13.15. Specifically, the findings suggest that the stress levels in our sample [are/are not] statistically higher/lower than those of the broader population of online university students, which could reflect underlying differences in student demographics, academic pressures, or institutional support systems.
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