Final answer:
The 95% confidence interval for the population mean payment is approximately [49.307, 50.693], calculated using the sample mean, the z-score for a 95% confidence level, the population standard deviation, and the sample size.
Step-by-step explanation:
The student is asking how to find a 95% confidence interval for the population mean payment, denoted as μ (mu), when the population standard deviation is known. To calculate the 95% confidence interval, we use the z-score associated with the 95% confidence level and the known population standard deviation. The z-score for a 95% confidence level is approximately 1.96.
The formula for the confidence interval is:
Confidence Interval = x ± (z * (σ/√n))
Where:
- x is the sample mean
- z is the z-score corresponding to the confidence level
- σ is the population standard deviation
- n is the sample size
Applying the formula with the given values in the question:
Confidence Interval = $50 ± (1.96 * ($5/√200))
Confidence Interval = $50 ± (1.96 * ($5/14.14))
Confidence Interval = $50 ± (1.96 * 0.3535)
Confidence Interval = $50 ± 0.693
The 95% confidence interval for the population mean payment is roughly [49.307, 50.693].