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The average stress score of students in online universities
QUESTION
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.
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| Subject |
Computer Science |
Pages |
14 |
Style |
APA |
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Answer
Population Mean (): 21
In locating the critical value of t, I used the student-t distribution table. I majorly used two metrics (the degree of freedom of the sample and which is the significance level) from Engineering Statistics Handbook (u.d). Given that this type of test was two-tailed-given the hypothesis, I used the two-tailed tests. The degree of freedom was gotten using n-1 (72-1) which gave 71. So, in the t-table, I chose 70 as the closest degrees of freedom and checked vertically along the 5% significance level. This gave me the value 1.994. To assess whether my calculated t was significant, I applied the Basic Critical Region (BCR) Test which states that Reject given that |t| > according to Test (2018)
The obtained t (9.3) falls within the rejection region given by the critical t (1.994)Therefore, at 5% level of significance, we reject the null hypothesis and conclude that there is enough evidence to show that stress scores reported in the Week 6 sample are significantly different from those of the population of online students.
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