Final answer:
For this problem with a sample mean of $146, standard deviation of $31, and sample size of 26, the 95% confidence interval is approximately ($133.04, $158.96).
Step-by-step explanation:
To construct a 95% confidence interval for the population mean, we can use the formula: (sample mean - margin of error, sample mean + margin of error).
The margin of error is calculated as:
(critical value * standard deviation) / sqrt(sample size).
For this problem, the sample mean is $146, the standard deviation is $31, the sample size is 26, and the critical value for a 95% confidence level is 1.96.
Plugging in these values, we get:
(146 - (1.96 * 31 / sqrt(26)), 146 + (1.96 * 31 / sqrt(26))).
Evaluating this, we find that the 95% confidence interval for the population mean is approximately ($133.04, $158.96).