- Statistical Reference Guide
- Control charts
- Shewhart control charts
- Shewhart variables control charts

# Xbar chart

An Xbar-chart is a type of control chart used to monitor the process mean when measuring subgroups at regular intervals from a process.

Each point on the chart represents the value of a subgroup mean.

The center line is the process mean. If unspecified, the process mean is the weighted mean of the subgroup means.

- A multiple (k) of sigma above and below the center line. Default k=3.
- Probability limits, defined as the probability (alpha) of a point exceeding the limits. Default alpha=0.27%.

The observations are assumed to be independent, and the means normally distributed. Individual observations need not be normally distributed. Due to the central limit theorem, the subgroup means are often approximately normally distributed for subgroup sizes larger than 4 or 5 regardless of the distribution of the individual observations.

For data with different subgroup sizes, the control limits vary. A standardized version of the control chart plots the points in standard deviation units. Such a control chart has a constant center line at 0, and upper and lower control limits of -3 and +3 respectively making patterns in the data easier to see.

It is important to ensure process variability is in a state of statistical control before using the Xbar-chart to investigate if the process mean is in control. Therefore a Xbar-chart is often combined with an R- or S-chart to monitor process variability. If the variability is not under control, the control limits may be too wide leading to an inability to detect special causes of variation affecting the process mean.

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- Distribution
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- Xbar-R chart
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- Xbar chart
- R chart
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- I-MR chart
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- Creating a Xbar-R / S control chart
- Creating an I-MR control chart
- Shewhart attributes control charts
- Shewhart control chart rules
- Applying rules to a Shewhart control chart
- Formatting a control chart
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Version 5.65

Published 14-Aug-2020