Final answer:
To construct a single sample confidence interval problem for a large sample and sports-related, consider the average distance that basketball players can shoot from the three-point line. Assume a sample of 100 basketball players, a sample mean of 21 feet, and a known sample standard deviation of 2 feet. The 95% confidence interval for the true mean distance is 19.572 to 22.428 feet.
Step-by-step explanation:
To create our own single sample confidence interval problem for a large sample and sports-related, let's consider the average distance that basketball players can shoot from the three-point line. Assume that a sample of 100 basketball players is surveyed. The sample mean is found to be 21 feet, and the sample standard deviation is known to be 2 feet. We want to construct a 95% confidence interval for the true mean distance that basketball players can shoot from the three-point line.
Solution:
The process to solve this problem is as follows:
- Determine the sample size, which is 100 basketball players.
- Calculate the sample mean, which is 21 feet.
- Assume the population standard deviation is known to be 2 feet.
- Find the critical value for a 95% confidence interval; for a large sample, this is approximately 1.96.
- Calculate the standard error, which is the population standard deviation divided by the square root of the sample size: 2 / √100 = 0.2.
- Construct the confidence interval by subtracting and adding the margin of error from the sample mean: 21 - 1.96(0.2) to 21 + 1.96(0.2) = 19.572 to 22.428.
Therefore, the 95% confidence interval for the true mean distance that basketball players can shoot from the three-point line is 19.572 to 22.428 feet.