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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. When a lot has been accepted by acceptance sampling, we know that:
2. Mean charts and range charts complement one another, one detecting shifts in process average, the other detecting shifts in process dispersion.
3. A Cp value of 1.33 indicates a standard of how many standard deviations (sigmas)?
4. A process range chart illustrates the amount of dispersion within the samples.
5. The steeper an OC curve, the better it discriminates between good and bad lots.
6. Red Top Cab Company receives multiple complaints per day about driver behavior. Over 9 days the owner recorded the number of calls to be 3, 0, 8, 9, 6, 7, 4, 9, and 8. What is the upper control limit for the 3-sigma c-chart?
7. The purpose of process control is to detect when natural causes of variation are present.
8. The process capability measures Cp and Cpk differ because:
9. The number of late insurance claim payouts per 100 should be measured with what type of control chart?
10. The usual purpose of an R-chart is to signal whether there has been a:
11. Statistical process control charts:
12. An operating characteristic (OC) curve describes:
13. Which of the following statements about acceptance sampling is TRUE?
14. Natural variations:
15. The number of defects after a hotel room cleaning (sheets not straight, smears on mirror, missed debris on carpet, etc) should be measured using what type of control chart?
16. 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.
17. If the process average is in control, then the process range must also be in control.
18. 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?
19. Acceptance sampling:
20. The causes of variation in statistical process control are:
21. The x-bar chart indicates that a gain or loss of uniformity has occurred in dispersion of a production process.
22. Which of the following statements about acceptance sampling is true?
23. 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?
24. To set x-bar chart upper and lower control limits, one must know the process central line, which is the:
25. A nationwide parcel delivery service keeps track of the number of late deliveries (more than 30 minutes past the time promised to clients) per day. They plan on using a control chart to plot their results. Which type of control chart(s) would you recommend?

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