11a. You may need to use the appropriate appendix table or technology to answer this question. Product filling weights are normally distributed with a mean of 450 grams and a standard deviation of 30 grams. (a) - Develop the control limits for the x chart for a sample of size 10. (Round your answers to two decimal places.) UCL=? LCL=? - Develop the control limits for the x chart for a sample of size 20. (Round your answers to two decimal places.) UCL=? LCL=? - Develop the control limits for the x chart for a sample of size 30. (Round your answers to two decimal places.) UCL=? LCL=? (b) What happens to the control limits as the sample size is increased? - The LCL comes closer to the process mean and the UCL moves farther from the process mean as the sample size is increased. - Both control limits move farther from the process mean as the sample size is increased. - Both control limits come closer to the process mean as the sample size is increased.The sample size does not affect the control limits. - The UCL comes closer to the process mean and the LCL moves farther from the process mean as the sample size is increased. (c) What happens when a Type I error is made? - The process will be declared in control and allowed to continue when the process is actually out of control. - The process will be declared out of control and adjusted when the process is actually in control.
11a. You may need to use the appropriate appendix table or technology to answer this question. Product filling weights are normally distributed with a mean of 450 grams and a standard deviation of 30 grams. (a) - Develop the control limits for the x chart for a sample of size 10. (Round your answers to two decimal places.) UCL=? LCL=? - Develop the control limits for the x chart for a sample of size 20. (Round your answers to two decimal places.) UCL=? LCL=? - Develop the control limits for the x chart for a sample of size 30. (Round your answers to two decimal places.) UCL=? LCL=? (b) What happens to the control limits as the sample size is increased? - The LCL comes closer to the process mean and the UCL moves farther from the process mean as the sample size is increased. - Both control limits move farther from the process mean as the sample size is increased. - Both control limits come closer to the process mean as the sample size is increased.The sample size does not affect the control limits. - The UCL comes closer to the process mean and the LCL moves farther from the process mean as the sample size is increased. (c) What happens when a Type I error is made? - The process will be declared in control and allowed to continue when the process is actually out of control. - The process will be declared out of control and adjusted when the process is actually in control.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
11a. You may need to use the appropriate appendix table or technology to answer this question.
Product filling weights are normally distributed with a mean of 450 grams and a standard deviation of 30 grams.
(a)
- Develop the control limits for the x chart for a sample of size 10. (Round your answers to two decimal places.)
UCL=? LCL=?
- Develop the control limits for the x chart for a sample of size 20. (Round your answers to two decimal places.)
UCL=? LCL=?
- Develop the control limits for the x chart for a sample of size 30. (Round your answers to two decimal places.)
UCL=? LCL=?
(b)
What happens to the control limits as the sample size is increased?
- The LCL comes closer to the process mean and the UCL moves farther from the process mean as the sample size is increased.
- Both control limits move farther from the process mean as the sample size is increased.
- Both control limits come closer to the process mean as the sample size is increased.The sample size does not affect the control limits.
- The UCL comes closer to the process mean and the LCL moves farther from the process mean as the sample size is increased.
(c)
What happens when a Type I error is made?
- The process will be declared in control and allowed to continue when the process is actually out of control.
- The process will be declared out of control and adjusted when the process is actually in control.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman