Answer:
Step-by-step explanation:
Our aim is to determine a 98% confidence interval for the mean repair cost for the dryers
Number of samples. n = 25
Mean, u = $93.36
Standard deviation, s = $19.95
For a confidence level of 98%, the corresponding z value is 2.33. This is determined from the normal distribution table.
We will apply the formula,
Confidence interval
= mean ± z × standard deviation/√n
It becomes
93.36 ± 2.33 × 19.95/√25
= 93.36 ± 2.33 × 3.99
= 93.36 ± 9.2967
The lower boundary of the confidence interval is 93.36 - 9.2967 =84.0633
The upper boundary of the confidence interval is 93.36 + 9.2967 = 102.6567
Therefore, with 98% confidence interval, the mean repair costs for the dryers is between $84.0633 and $102.6567