Answer :
- The null hypothesis Is: [tex]$H_0: \mu=4.5$[/tex]
- The alternative hypothesis Is: [tex]$H_1: \mu \neq 4.50$[/tex]
- The test statistic is: t=-0.43
- The p-value of the test is of 0.6684.
What is p-value?
The p-value Is of 0.6684>0.05, which means that we can conclude that the population of student course evaluations has a mean equal to [tex]\mathbf{4 . 5 0}$.[/tex]
We are going to test If the mean Is equals to 4.50, thus, the null hypothesis Is:
[tex]H_0: \mu=4.5[/tex]
At the alternative hypothesis, we test If the mean Is different to 4.50, that is:
[tex]H_1: \mu \neq 4.50[/tex]
Since we have the standard devlation for the sample, the t-distribution is used. The value of the test statistic Is:
[tex]t=\frac{\pi-\mu}{\frac{\sqrt{n}}{\sqrt{n}}}$[/tex]
For this problem:
[tex]$\begin{aligned}& t=\frac{4.30-1.5}{\frac{2.21}{\sqrt[3]{80}}} \\& t=-0.43\end{aligned}$[/tex]
We are testing If the mean is dlfferent from a value, thus, the p-value of test is found using a two-talled test, wlth t=-0.43 and [tex]$80-1=79 \mathrm{df}$[/tex].
Using a t-distribution calculator, the [tex]$\mathrm{p}$[/tex]-value is of [tex]$\mathbf{0 . 6 6 8 4}$[/tex].
The p-value is of 0.6684 > 0.05, which means that we can conclude that the population of student course evaluations has a mean equal to 4.50.
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