42.8k views
2 votes
A production line producing motors completes a run of 40 units. All 40 motors are performance tested and the average shaft power output is 125.0 kW with a standard deviation of 3.0 kW. Determine the 90% confidence interval of the mean shaft power output of the run.

User Durrrutti
by
8.0k points

1 Answer

4 votes

Final answer:

The 90% confidence interval for the mean shaft power output of the run is calculated to be from 124.22 kW to 125.78 kW, using the z-score for 90% confidence and the standard deviation with the given data.

Step-by-step explanation:

To determine the 90% confidence interval for the mean shaft power output of a production line that has an average output of 125.0 kW with a standard deviation of 3.0 kW for a sample size of 40 units, we will use the following formula:

Confidence Interval = µ ± (z * (σ / √n))

where µ is the sample mean, σ is the standard deviation, n is the sample size, and z is the z-score corresponding to the desired confidence level.

To find the appropriate z-score for a 90% confidence level, we refer to the standard normal distribution table. The z-score that corresponds to a 90% confidence level (with 5% in each tail) is approximately 1.645.

Confidence Interval = 125.0 ± (1.645 * (3.0 / √40))

Confidence Interval = 125.0 ± (1.645 * (3.0 / 6.3246))

Confidence Interval = 125.0 ± (1.645 * 0.4743)

Confidence Interval = 125.0 ± 0.7805

Therefore, the 90% confidence interval for the mean shaft power output is 124.22 kW to 125.78 kW.

User Derek Mahar
by
7.7k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories