Final answer:
To find the 95% confidence interval estimate of the population mean, use the formula (x - z * (s / √n), x + z * (s / √n)), where x is the sample mean, s is the standard deviation, n is the sample size, and z is the z-score corresponding to the desired confidence level.
Step-by-step explanation:
To find the 95% confidence interval estimate of the population mean, we can use the formula:
(x - z * (s / √n), x + z * (s / √n))
Where x is the sample mean, s is the standard deviation, n is the sample size, and z is the z-score corresponding to the desired confidence level.
In this case, the sample mean is 103, the standard deviation is 10, and the sample size is 10.
Using a z-score of 1.96 for a 95% confidence level, we can calculate:
(103 - 1.96 * (10 / √10), 103 + 1.96 * (10 / √10))
= (95.17, 110.83)
So, the 95% confidence interval estimate for the population mean µ is (95.17, 110.83).