Final answer:
The student wants to construct a 96% confidence interval for a population mean using a normally distributed sample of size 11, with a sample mean of 112 and a sample standard deviation of 10. We use the t-distribution to find the appropriate t-value and then calculate the margin of error and the confidence interval.
Step-by-step explanation:
To construct a 96% confidence interval about the population mean μ when the population standard deviation is unknown and the sample size is small (n < 30), we use the student's t-distribution because the sample standard deviation s is used to estimate the population standard deviation. In this case, the sample mean x is 112, the sample standard deviation s is 10, and the sample size n is 11.
First, we need to find the t-value that corresponds to a 96% confidence level with n - 1 degrees of freedom. We can use a t-distribution table or technology to find this value. Once we have the t-value, the margin of error (EBM) is calculated as follows:
EBM = t * (s / √n)
The confidence interval (CI) can then be calculated as:
(x - EBM, x + EBM)
Let's do the math with the given values:
- Find the t-value for a 96% confidence level with 10 degrees of freedom.
- Calculate the EBM using the t-value and the sample standard deviation.
- Calculate the upper and lower bounds of the confidence interval.
- Present the confidence interval rounded to one decimal place.
It's important to remember that the confidence interval provides a range within which the true population mean is likely to fall.