Final answer:
To construct a 95% confidence interval, subtract the margin of error from the sample mean to find the lower bound, and add the margin of error to the sample mean to find the upper bound. If the confidence interval does not include the national average, it can be concluded that the average household income in San Diego is different from the national average.
Step-by-step explanation:
To construct a 95% confidence interval, we can use the formula: sample mean ± margin of error. Given that the sample mean for San Diego is $70,000 and the margin of error is $11,000, the 95% confidence interval can be calculated as follows:
Lower bound = $70,000 - $11,000 = $59,000
Upper bound = $70,000 + $11,000 = $81,000
Therefore, the 95% confidence interval for the average annual household income in San Diego is $59,000 to $81,000.
To determine if the average household income in San Diego is different from the national average, we need to check if the 95% confidence interval overlaps with the national average ($60,000). If the confidence interval contains the national average, then we cannot conclude that the average income in San Diego is different from the national average. In this case, since the confidence interval of $59,000 to $81,000 does not include $60,000, we can conclude that the average household income in San Diego is different from the national average.