2.
Measurement Process Characterization
2.6. Case studies 2.6.3. Evaluation of type A uncertainty
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View of Dataplot macros for this case study | This page allows you to repeat the analysis outlined in the case study description on the previous page using Dataplot . It is required that you have already downloaded and installed Dataplot and configured your browser. to run Dataplot. Output from each analysis step below will be displayed in one or more of the Dataplot windows. The four main windows are the Output Window, the Graphics window, the Command History window, and the data sheet window. Across the top of the main windows there are menus for executing Dataplot commands. Across the bottom is a command entry window where commands can be typed in. |
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Click on the links below to start Dataplot and run this case study yourself. Each step may use results from previous steps, so please be patient. Wait until the software verifies that the current step is complete before clicking on the next step. | The links in this column will connect you with more detailed information about each analysis step from the case study description. |
Time-dependent components from 3-level nested design
Pool repeatability standard deviations for:
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Database of measurements with
probe #2362
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Bias due to probe #2362 |
Database of measurements with 5 probes
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Bias due to wiring configuration A |
Database of wiring configurations A and
B
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Uncertainty |
Elements of error budget
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