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2. 68–95–99.7 rule - Wikipedia

   en.wikipedia.org/wiki/68–95–99.7_rule

   In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr or 3 σ, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean ...

3. Shewhart individuals control chart - Wikipedia

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

   The value 3.267 is taken from the sample size-specific D 4 anti-biasing constant for n=2, as given in most textbooks on statistical process control (see, for example, Montgomery [2]: 725 ). Calculation of individuals control limits

4. 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.

5. x̅ and R chart - Wikipedia

   en.wikipedia.org/wiki/X̅_and_R_chart

   In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]

6. Western Electric rules - Wikipedia

   en.wikipedia.org/wiki/Western_Electric_rules

   The Western Electric rules are decision rules in statistical process control for detecting out-of-control or non-random conditions on control charts. [1] Locations of the observations relative to the control chart control limits (typically at ±3 standard deviations) and centerline indicate whether the process in question should be investigated for assignable causes.

7. x̅ and s chart - Wikipedia

   en.wikipedia.org/wiki/X̅_and_s_chart

   In statistical quality control, the ¯ and s chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a business or industrial process. [1] This is connected to traditional statistical quality control (SQC) and statistical process control (SPC).