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Operations Management 101 Practice Test: Statistical Process Control
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Statistical process control (SPC) is a data-driven process that uses statistical methods to monitor and control the quality of a production process. The goal of SPC is to ensure that the process is stable, consistent with customer requirements, and not drifting or changing in an unexplainable manner. 

SPC is commonly used in manufacturing or production processes to measure how consistently a product performs according to its design specifications. Some of th
 

Operations Management 101 Practice Test: Statistical Process Control
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25 Questions

1. Statistical process control charts:
2. If a sample of items is taken and the mean of the sample is outside the control limits, the process is:
3. Plots of sample ranges indicate that the most recent value is below the lower control limit. What course of action would you recommend?
4. Ten samples of a process measuring the number of returns per 100 receipts were taken for a local retail store. The number of returns were 10, 9, 11, 7, 3, 12, 8, 4, 6, and 11. Find the standard deviation of the sampling distribution for the p-bar chart.
5. If = 23 ounces, σ = 0.4 ounces, and n = 16, what will be the ±3σ control limits for the x-bar chart?
6. A process is said to be in statistical control when assignable causes are the only sources of variation.
7. The purpose of process control is to detect when natural causes of variation are present.
8. The upper and lower limits for diving ring diameters made by John's Swimming Co. are 40 and 39 cm., respectively. John took 11 samples with the following average diameters (39, 39.1, 39.2, 39.3, 39.4, 39.5 39.6, 39.7, 39.8, 39.9, 40). Is the process in control?
9. The statistical definition of Six Sigma allows for 3.4 defects per million. This is achieved by what Cpk index value?
10. Acceptance sampling is usually used to control:
11. A manufacturer uses statistical process control to control the quality of the firm's products. Samples of 50 of Product A are taken, and a defective/acceptable decision is made on each unit sampled. For Product B, the number of flaws per unit is counted. What type(s) of control charts should be used?
12. Which of the following is true of a p-chart?
13. A manager wants to build 3-sigma x-bar control limits for a process. The target value for the mean of the process is 10 units, and the standard deviation of the process is 6. If samples of size 9 are to be taken, what will be the upper and lower control limits, respectively?
14. A Type I error occurs when:
15. The process capability measures Cp and Cpk differ because:
16. The higher the process capability ratio, the greater the likelihood that process will be within design specifications.
17. Acceptance sampling:
18. The causes of variation in statistical process control are:
19. In statistical process control, the range is often used as a substitute for the standard deviation.
20. An x-bar chart is used when we are sampling attributes.
21. A manager wishes to build a 3-sigma range chart for a process. The sample size is five, the mean of sample means is 16.01, and the average range is 5.3. From Table S6.1, the appropriate value of D3 is 0, and D4 is 2.115. What are the UCL and LCL, respectively, for this range chart?
22. According to the text, what is the most common choice of limits for control charts?
23. An x-bar control chart was examined and no data points fell outside of the limits. Can this process be considered in control?
24. The c-chart signals whether there has been a:
25. Acceptance sampling accepts or rejects an entire lot based on the information contained in the sample.

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