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  2. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    Use variable-width control limits [6] Each observation plots against its own control limits as determined by the sample size-specific values, n i, of A 3, B 3, and B 4: Use control limits based on an average sample size [7] Control limits are fixed at the modal (or most common) sample size-specific value of A 3, B 3, and B 4

  3. u-chart - Wikipedia

    en.wikipedia.org/wiki/U-chart

    The control limits for this chart type are ¯ ¯ where ¯ is the estimate of the long-term process mean established during control-chart setup. The observations u i = x i n i {\displaystyle u_{i}={\frac {x_{i}}{n_{i}}}} are plotted against these control limits, where x i is the number of nonconformities for the ith subgroup and n i is the ...

  4. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    Individuals and moving range control chart; Originally proposed by: Walter A. Shewhart: Process observations; Rational subgroup size: n = 1: Measurement type: Average quality characteristic per unit: Quality characteristic type: Variables data: Underlying distribution: none: Performance; Size of shift to detect: ≥ 1.5σ: Process variation ...

  5. c-chart - Wikipedia

    en.wikipedia.org/wiki/C-chart

    The c-chart differs from the p-chart in that it accounts for the possibility of more than one nonconformity per inspection unit, and that (unlike the p-chart and u-chart) it requires a fixed sample size. The p-chart models "pass"/"fail"-type inspection only, while the c-chart (and u-chart) give the ability to distinguish between (for example) 2 ...

  6. Control chart - Wikipedia

    en.wikipedia.org/wiki/Control_chart

    Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.

  7. Stratified randomization - Wikipedia

    en.wikipedia.org/wiki/Stratified_randomization

    Graphic breakdown of stratified random sampling. In statistics, stratified randomization is a method of sampling which first stratifies the whole study population into subgroups with same attributes or characteristics, known as strata, then followed by simple random sampling from the stratified groups, where each element within the same subgroup are selected unbiasedly during any stage of the ...

  8. CUSUM - Wikipedia

    en.wikipedia.org/wiki/CUSUM

    Rational subgroup size: n = 1: Measurement type: Cumulative sum of a quality characteristic: Quality characteristic type: Variables data: Underlying distribution: Normal distribution: Performance; Size of shift to detect: ≤ 1.5σ: Process variation chart; Not applicable: Process mean chart; Center line: The target value, T, of the quality ...

  9. Nelson rules - Wikipedia

    en.wikipedia.org/wiki/Nelson_rules

    The above eight rules apply to a chart of a variable value. A second chart, the moving range chart, can also be used but only with rules 1, 2, 3 and 4. Such a chart plots a graph of the maximum value - minimum value of N adjacent points against the time sample of the range.