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Test Yourself Against The Statistical Process Control Example Test

Try your skills at answering the twenty-five (25) example test questions below. You will receive immediate feedback as to whether or not you have answered each question correctly. If you have prospective employees that you are considering for SPC implementation at your company, you may desire to have them visit this page and try it out for themselves. A low score could mean you need the Statistical Solutions Statistical Process Control Training System at your facility.

 

 

INSTRUCTIONS: Read each question carefully and click the checkbox next to what you feel is the correct answer. If you have chosen the correct or incorrect answer, you will see a short text message to the right of the answers. Good Luck!

 
1. Statistical process control is:
 
a. A technique for finding the best settings on machines or equipment
b. A method of ensuring consistent levels of product quality by monitoring           the production process.
c. A way to identify and eliminate potential failure modes in an operation.
d. A means of ensuring that the “voice of the customer” is considered at           every step of design and production.
 
2. All of the output from a single source is called a:
 
a. Population
b. Process
c. Subgroup
d. Control Chart
 
3. An individual item or product that’s selected at random for inspection or evaluation is called a:
 
a. Subgroup
b. Sample
c. Population

d. Predictor

 

4. A group of items or products that are selected in sequence from a single source and used to predict the quality of all the items from that source is called a:
 
a. Subgroup
b. Sample
c. Population
d. Product series
 
5. A solid horizontal line across a control chart represents the:
 
a. Average process speed.
b. Target value for the population.
c. Average of all the subgroup values.

d. Largest acceptable value.

 
6. The upper and lower control limits on a control chart are:
 
a. Expected variations among individual products.
b. Calculated from actual measurement data.
c. Determined during product design.
d. The same as specification limits.
 
*In questions 7-11, identify if the product feature is evaluated according to variables data or attributes data.
 
7. A slot that has a measured depth of 1.513 in.
 
a. Variables data
b. Attributes data
 

8. The smoothness of a milled surface that’s evaluated as acceptable or unacceptable.

 
a. Variables data
b. Attributes data
 
9. The diameter of a hole that’s measured with plug gages and evaluated as oversize.
 
a. Variables data
b. Attributes data
 
10. The diameter of a hole that’s measured with calipers and expressed as 0.7253.
 
a. Variables data
b. Attributes data
Arrow Up
11. An angle of taper that’s expressed as 42.75°.
 
a. Variables data
b. Attributes data
 

*In questions 12-16, identify which of the control charts listed would be most appropriate for the type of data collected.

 
12. The numbers of nonconforming parts from a plastic extrusion process.
 
a. X-bar/R chart
b. p chart
c. np chart
d. c chart
e. u chart
 
13. The width of a flange, measured and expressed to 0.0001 in.
 
a. X-bar/R chart
b. p chart
c. np chart
d. c chart
e. u chart
 
14. The numbers of nonconformities on stamped door panels.
 
a. X-bar/R chart
b. p chart
c. np chart
d. c chart
e. u chart
 
15. The percent of nonconforming parts, due to unacceptable paint color.
 
a. X-bar/R chart
b. p chart
c. np chart
d. c chart
e. u chart
 
16. The average numbers of open connections, or nonconformities, on printed circuit boards.
 
a. X-bar/R chart
b. p chart
c. np chart
d. c chart
e. u chart
 
*In questions 17 and 18, calculate the subgroup values for the following variables data. Round the X-bar values to two (2) decimal places.
 
2.48
2.51
2.53
2.54
2.51
 
17. Average (X-bar) =
 
a. X-bar = 2.15
b. X-bar = 2.53
c. X-bar = 2.50
d. X-bar = 2.51
 
18. Range (R) =
 
a. R = 0.03
b. R = 0.05
c. R = 0.06
d. R = 0.07
 
19. Find the p value for the following subgroup data. Round the p value to three (3) decimal places.
 
Subgroup size:
210
Number nonconforming:
4
 
a. p value = 0.214
b. p value = 0.019
c. p value = 206
d. p value = 0.206
 
20. On a control chart, when points remain inside the control limits and vary randomly on either side of the central line, it indicates that:
 
a. The process is operating as expected.
b. A problem may exist in the process and should be investigated.
  Arrow Up
*For questions 21-25, match the descriptions with the tools listed.
 
21. A way of displaying possible causes of a problem in a shape that resembles a fishbone.
 
a. Brainstorming
b. Pictograph
c. Check Sheet
d. Pareto Diagram
e. Cause-and-Effect Diagram
f.  Frequency Table
 
22. A means of recording nonconformities by marking their locations on a drawing of the part.
 
a. Brainstorming
b. Pictograph
c. Check Sheet
d. Pareto Diagram
e. Cause-and-Effect Diagram
f.  Frequency Table
 
23. A method of generating many ideas that is most effective when done as a group effort.
 
a. Brainstorming
b. Pictograph
c. Check Sheet
d. Pareto Diagram
e. Cause-and-Effect Diagram
f.  Frequency Table
 
24. A type of bar chart in which items are ranked highest to lowest according to their frequency and/or cost.
   
a. Brainstorming
b. Pictograph
c. Check Sheet
d. Pareto Diagram
e. Cause-and-Effect Diagram
f.  Frequency Table
 
25. A tool that shows how often different measurement values occur.
 
a. Brainstorming
b. Pictograph
c. Check Sheet
d. Pareto Diagram
e. Cause-and-Effect Diagram
f.  Frequency Table
  Arrow Up
Congratulations! You have made it to the end of the test

 

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