Final answer:
To construct confidence intervals for population means with a known standard deviation, you need the sample mean, population standard deviation, and desired confidence level. Using the formula (sample mean - error bound, sample mean + error bound), calculate the confidence intervals for different confidence levels. In the given example, the 90% confidence interval is (122.66, 131.34) and the 95% confidence interval is (121.82, 132.16).
Step-by-step explanation:
To construct a confidence interval for a population mean using a known population standard deviation, we need the sample mean, the population standard deviation, and the desired confidence level.
For the 90% confidence interval, we use the formula (sample mean - error bound, sample mean + error bound). The error bound is calculated by multiplying the population standard deviation by the critical value for a 90% confidence level, which can be found in a t-table or using technology.
For the 95% confidence interval, the process is the same, but we use the critical value for a 95% confidence level instead. The 95% confidence interval will end up being wider than the 90% interval because we are more confident in its accuracy.
In the given example, the 90% confidence interval for the population mean of home theater system prices is (122.66, 131.34) and the 95% confidence interval is (121.82, 132.16).