Using the t-distribution, it is found that:
The 98% confidence interval for the true mean salary, in thousands of dollars, is: (69.14, 71.38).
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Before building the confidence interval, we use a calculator to find the sample mean and the sample standard deviation. They are:
[tex]\overline{x} = 70.26[/tex]
[tex]s = 2.35[/tex]
We have the standard deviation for the sample, thus, the t-distribution is used.
The number of degrees of freedom is the sample size subtracted by 1. So
df = 27 - 1 = 26
98% confidence interval
Now, we have to find a value of T, which is found looking at the two-tailed t table, with 26 degrees of freedom(y-axis) and a confidence level of [tex]1 - \frac{1 - 0.98}{2} = 0.99[/tex], thus T = 2.479.
The margin of error is:
[tex]M = T\frac{s}{\sqrt{n}} = 2.479\frac{2.35}{\sqrt{27}} = 1.12[/tex]
In which s is the standard deviation of the sample and n is the size of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 70.26 - 1.12 = 69.14.
The upper end of the interval is the sample mean added to M. So it is 70.26 + 1.12 = 71.38.
The 98% confidence interval for the true mean salary, in thousands of dollars, is: (69.14, 71.38).
A similar problem is given at https://brainly.com/question/15872108