Implication of a point plotted on a control chart falls outside one of the control limits. Concept Introduction: Control charts are the statistical tool that measures the effectiveness of the business or production process. Any variation in the process is examined by the chart which has an upper control limit and lower control limit. These limits are the extreme value beyond which a process is said to be out of control.

Question

Want to see the full answer?

Answer 1

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 13, Problem 3P

Summary Introduction

Interpretation: Implication of a point plotted on a control chart falls outside one of the control limits.

Concept Introduction: Control charts are the statistical tool that measures the effectiveness of the business or production process. Any variation in the process is examined by the chart which has an upper control limit and lower control limit. These limits are the extreme value beyond which a process is said to be out of control.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

At Gleditsia Triacanthos Company, a certain manufactured part is deemed acceptable if its length is between 12.45 to 12.55 inches. The process is normally distributed with an average of 12.49 inches and a standard deviation of 0.014 inches. a) is the process capable of meeting specifications? b) Does the process meet specifications?

Describe how to construct process control charts and use them to determine whether a process is out of statistical control.

At Gleditsia Triacanthos Company, a certain manufactured part is deemed acceptable if its lengthis between 12.45 to 12.55 inches. The process is normally distributed with an average of 12.49inches and a standard deviation of 0.014 inches. A) Is the process capable of meeting specifications? B) Does the process meet specifications?

Answer 2

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 13, Problem 3P

Summary Introduction

Interpretation: Implication of a point plotted on a control chart falls outside one of the control limits.

Concept Introduction: Control charts are the statistical tool that measures the effectiveness of the business or production process. Any variation in the process is examined by the chart which has an upper control limit and lower control limit. These limits are the extreme value beyond which a process is said to be out of control.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 13, Problem 3P

Summary Introduction

Interpretation: Implication of a point plotted on a control chart falls outside one of the control limits.

Concept Introduction: Control charts are the statistical tool that measures the effectiveness of the business or production process. Any variation in the process is examined by the chart which has an upper control limit and lower control limit. These limits are the extreme value beyond which a process is said to be out of control.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 13, Problem 3P

Summary Introduction