Final answer:
To construct an 80% confidence interval for the mean repair cost, use the formula: Confidence Interval = sample mean ± (critical value) * (standard deviation / sqrt(sample size)).
Step-by-step explanation:
To construct an 80% confidence interval for the mean repair cost, we can use the formula:
Confidence Interval = sample mean ± (critical value) * (standard deviation / sqrt(sample size))
In this case, the sample mean is $88.05, the standard deviation is $10.52, the sample size is 23, and we want an 80% confidence level. We can find the critical value using a t-distribution table or a t-distribution function in statistical software. For an 80% confidence level and 22 degrees of freedom (sample size minus 1), the critical value is approximately 1.7207.
Plugging in the values, we get:
Confidence Interval = $88.05 ± 1.7207 * ($10.52 / sqrt(23))
Simplifying the expression, we get:
Confidence Interval = $88.05 ± $2.4865
Rounding to two decimal places, the 80% confidence interval for the mean repair cost is $85.56 to $90.54.