Final answer:
To construct a 90% confidence interval to estimate the mean vitamin D level in the population, we use the formula: Confidence interval = sample mean ± (critical value x standard deviation / square root of sample size). In this case, the sample mean is 27 nanograms per milliliter and the standard deviation is 3 nanograms per milliliter. The confidence interval is approximately (25.7496, 28.2504).
Step-by-step explanation:
To construct a 90% confidence interval to estimate the mean vitamin D level in the population, we use the formula:
Confidence interval = sample mean ± (critical value x standard deviation / square root of sample size)
In this case, the sample mean is 27 nanograms per milliliter and the standard deviation is 3 nanograms per milliliter. The critical value for a 90% confidence level with a sample size of 42 can be found using a t-distribution table and is approximately 1.684.
Plugging in these values into the formula, we get:
Confidence interval = 27 ± (1.684 x 3 / √42)
Simplifying the expression, the confidence interval is approximately (25.7496, 28.2504). Therefore, we can conclude that we are 90% confident that the true population mean level of vitamin D in sunbathers will be between 25.7496 nanograms per milliliter and 28.2504 nanograms per milliliter.