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An example of a Levey–Jennings chart with upper and lower limits of one and two times the standard deviation. A Levey–Jennings chart is a graph that quality control data is plotted on to give a visual indication whether a laboratory test is working well. The distance from the mean is measured in standard deviations.
They are plotted on Levey–Jennings charts, wherein the X-axis shows each individual sample, and the Y-axis shows how much each one differs from the mean in terms of standard deviation (SD). The rules are: [2]
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The Levey-Jennings chart differs from the Shewhart Individuals control chart in the way sigma is estimated. The Levey-Jennings chart uses the long-term (i.e., population) estimate of sigma whereas the Shewhart chart uses the short-term (i.e., within the rational subgroup) estimate. John 72.153.169.233 21:41, 30 November 2009 (UTC)
Analyse-it Quality Control & Improvement edition provides the standard Analyse-it statistical analyses above, plus procedures for statistical process control, including Shewhart, Levey-Jennings, CUSUM, and EWMA control charts, process capability analysis, and pareto analysis.
Yup. I agree with that. Levy Jennings charts are used only in Laboratory QC situations. —Preceding unsigned comment added by 63.133.130.174 20:58, 12 November 2009 (UTC) Two good reasons for keeping separate are the inclusion of the chart article in Category:statistical charts and diagrams
In statistical quality control, the CUSUM (or cumulative sum control chart) is a sequential analysis technique developed by E. S. Page of the University of Cambridge. It is typically used for monitoring change detection. [1] CUSUM was announced in Biometrika, in 1954, a few years after the publication of Wald's sequential probability ratio test ...
In statistical quality control, the individual/moving-range chart is a type of control chart used to monitor variables data from a business or industrial process for which it is impractical to use rational subgroups. [1] The chart is necessary in the following situations: [2]: 231
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