Using the t-distribution, as we have the standard deviation for the sample, it is found that the 90% confidence interval is (246.6, 282.8).
<h3>What is a t-distribution confidence interval?</h3>
The confidence interval is:
![\overline{x} \pm t\frac{s}{\sqrt{n}}](https://tex.z-dn.net/?f=%5Coverline%7Bx%7D%20%5Cpm%20t%5Cfrac%7Bs%7D%7B%5Csqrt%7Bn%7D%7D)
In which:
is the sample mean.
- s is the standard deviation for the sample.
The critical value, using a t-distribution calculator, for a two-tailed <u>90% confidence interval</u>, with 16 - 1 = 15 df, is t = 1.7531.
Researching the problem on the internet, the standard deviation was of 42.1 mg/dL, hence the parameters are as follows:
![\overline{x} = 264.7, s = 41.2, n = 16](https://tex.z-dn.net/?f=%5Coverline%7Bx%7D%20%3D%20264.7%2C%20s%20%3D%2041.2%2C%20n%20%3D%2016)
Thus, the bounds of the interval are given by:
![\overline{x} - t\frac{s}{\sqrt{n}} = 264.7 - 1.7531\frac{41.2}{\sqrt{16}} = 246.6](https://tex.z-dn.net/?f=%5Coverline%7Bx%7D%20-%20t%5Cfrac%7Bs%7D%7B%5Csqrt%7Bn%7D%7D%20%3D%20264.7%20-%201.7531%5Cfrac%7B41.2%7D%7B%5Csqrt%7B16%7D%7D%20%3D%20246.6)
![\overline{x} + t\frac{s}{\sqrt{n}} = 264.7 + 1.7531\frac{41.2}{\sqrt{16}} = 282.8](https://tex.z-dn.net/?f=%5Coverline%7Bx%7D%20%2B%20t%5Cfrac%7Bs%7D%7B%5Csqrt%7Bn%7D%7D%20%3D%20264.7%20%2B%201.7531%5Cfrac%7B41.2%7D%7B%5Csqrt%7B16%7D%7D%20%3D%20282.8)
The 90% confidence interval is (246.6, 282.8).
More can be learned about the t-distribution at brainly.com/question/16162795