Exam 20: Introduction to Quality and Statistical Process Control
Exam 1: The Where, Why, and How of Data Collection167 Questions
Exam 2: Graphs, Charts and Tablesdescribing Your Data138 Questions
Exam 3: Describing Data Using Numerical Measures138 Questions
Exam 4: Introduction to Probability125 Questions
Exam 5: Discrete Probability Distributions161 Questions
Exam 6: Introduction to Continuous Probability Distributions122 Questions
Exam 7: Introduction to Sampling Distributions136 Questions
Exam 8: Estimating Single Population Parameters174 Questions
Exam 9: Introduction to Hypothesis Testing183 Questions
Exam 10: Estimation and Hypothesis Testing for Two Population Parameters121 Questions
Exam 11: Hypothesis Tests and Estimation for Population Variances69 Questions
Exam 12: Analysis of Variance162 Questions
Exam 13: Goodness-Of-Fit Tests and Contingency Analysis105 Questions
Exam 14: Introduction to Linear Regression and Correlation Analysis139 Questions
Exam 15: Multiple Regression Analysis and Model Building148 Questions
Exam 16: Analyzing and Forecasting Time-Series Data131 Questions
Exam 17: Introduction to Nonparametric Statistics103 Questions
Exam 18: Introducing Business Analytics48 Questions
Exam 19: Introduction to Decision Analysis48 Questions
Exam 20: Introduction to Quality and Statistical Process Control42 Questions
Select questions type
A p-chart would potentially be used to monitor the diameters of bolts made by a bolt manufacturing plant.
(True/False)
4.9/5
(39)
Process control charts are used to provide signals to indicate when the output of a process is out of control.
(True/False)
4.9/5
(38)
Because variations are unavoidable in a system, the output of the system is always unpredictable.
(True/False)
4.7/5
(32)
Increased variation in processes and products can be detected as finer gauge measurement devices are used.
(True/False)
4.8/5
(30)
The six most common sources of variation are people, machines, materials, methods, measurement, and environment.
(True/False)
4.8/5
(35)
The control limits in a control chart can be interpreted to mean:
(Multiple Choice)
4.7/5
(37)
Special cause variation is variation in the output of a process that is naturally occurring and expected and that may be the result of random causes.
(True/False)
4.8/5
(30)
Explain the relationship between control limits and specification limits.
(Essay)
4.8/5
(34)
Recently a shipping company took 30 samples, each of size n = 100, of packages that it was responsible for delivering. Out of the 3,000 total packages, 300 were delivered late. In setting up an appropriate process control chart, what would be the correct 3-sigma upper control limit value?
(Multiple Choice)
4.8/5
(28)
In process improvement efforts, the goal is to first remove the common cause variation and then to reduce the special cause variation in a system.
(True/False)
4.9/5
(39)
It is entirely possible for the R-chart to show that a process is in statistical control and the -chart to show that the same process is out of control.
(True/False)
4.9/5
(45)
A company that fills soft drinks into bottles wishes to establish an -chart to monitor the average fill level in the bottles. To do this, the company has taken a series of samples of size n = 4 bottles. The overall average fill is 12.03 ounces. The average range for the subgroups has been .06 ounces. Based on this information, what is the upper limit of the 3-sigma control limit?
(Multiple Choice)
4.7/5
(32)
Which of the following is not among the most common sources of variation?
(Multiple Choice)
4.8/5
(39)
Statistical Process Control charts are used to detect whether a process remains in control or whether it has gone out of control. Explain how the SPC signals work.
(Essay)
4.9/5
(41)
The frequency distribution of most processes' statistics will begin to resemble the shape of the normal distribution as the values are collected and grouped into classes.
(True/False)
4.8/5
(38)
Which of the following in not an out of control signal for an x-bar chart?
(Multiple Choice)
4.7/5
(27)
Both p-charts and c-charts are designed for use when the data we are working with are referred to as attribute data.
(True/False)
4.7/5
(32)
The x-bar chart is based on the principles of which distribution?
(Multiple Choice)
4.9/5
(45)
A company that fills soft drinks into bottles has established an -chart and an R-chart to monitor the average fill level in the bottles. To do this, the company has taken a series of samples of size n = 4 bottles. The overall average fill is 12.03 ounces. The average range for the subgroups has been .06 ounces. Suppose, after developing the control chart, a subgroup of size 4 yields a sample mean of 12.09 ounces and a range of .08, which of the following statements is true?
(Multiple Choice)
5.0/5
(24)
Total process variation is made up of the sum of common cause variation and special cause variation.
(True/False)
4.8/5
(35)
Showing 21 - 40 of 42
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)