Answer:
The 99% confidence interval for the mean would be (301.064;333.336) mA
Explanation:
1) Notation and some definitions
n=10 sample selected
sample mean for the sample tubes selected
sample deviation for the sample selected
Confidence = 99% or 0.99
significance level
A confidence interval for the mean is used to "places boundaries around an estimated
so that the true population mean
would be expected to lie within those boundaries with a confidence specified. If the uncertainty is large, then the interval between the boundaries must be wide; if the uncertainty is small, then the interval can be narrow"
2) Formula to use
For this case the sample size is <30 and the population standard deviation
is not known, so for this case we can use the t distributon to calculate the critical value. The first step would be calculate alpha
and
, then we can calculate the degrees of freedom given by:

Now we can calculate the critical value

And then we can calculate the confidence interval with the following formula
(1)
3) Calculate the interval
Using the formula (1) and replacing the values that we got we have:

So then the 99% confidence interval for the mean would be (301.064;333.336)mA
Interpretation: A point estimate for the true mean of brightness level for the tubes in the population is 317.2mA, and we are 99% confident that the true mean is between 301.064 mA and 333.336 mA.