Answer:
[tex]26.12\:<\:\mu\:<\:31.48[/tex]
Step-by-step explanation:
Since the population standard deviation [tex]\sigma[/tex] is unknown, and the sample standard deviation [tex]s[/tex], must replace it, the [tex]t[/tex] distribution must be used for the confidence interval.
The sample size is n=8.
The degree of freedom is [tex]df=n-1[/tex], [tex]\implies df=8-1=7[/tex].
With 95% confidence level, the [tex]\alpha-level[/tex](significance level) is 5%.
Hence with 7 degrees of freedom, [tex]t_{\frac{\alpha}{2} }=2.365[/tex]. (Read from the t-distribution table see attachment)
The 95% confidence interval can be found by using the formula:
[tex]\bar X-t_{\frac{\alpha}{2}}(\frac{s}{\sqrt{n} } )\:<\:\mu\:<\:\bar X+t_{\frac{\alpha}{2}}(\frac{s}{\sqrt{n} } )[/tex].
The sample mean is [tex]\bar X=28.8[/tex] hours.
The sample sample standard deviation is [tex]s=3.2[/tex] hours.
We now substitute all these values into the formula to obtain:
[tex]28.8-2.365(\frac{3.2}{\sqrt{8} } )\:<\:\mu\:<\:28.8+2.365(\frac{3.2}{\sqrt{8} } )[/tex].
[tex]26.12\:<\:\mu\:<\:31.48[/tex]
We are 95% confident that the population mean is between 26.12 and 31.48 hours.