Use capability analysis to determine whether your process meets customer requirements.

To add output from a capability analysis, go to Add and complete a form.

Normal capability analysis

Use normal capability analysis to evaluate the potential (within) and overall capability of your process based on a normal distribution.

For example, a quality analyst uses a normal capability analysis to evaluate how well the process meets the specifications of 20 ± 0.1 mm, based on a normal distribution of the data. To see an example, go to Minitab Help: Example of Normal Capability Analysis.

Data considerations

Your data must be continuous Y (output), with at least one specification limit. The process capability estimates for this analysis are based on the normal distribution. If the data are not normally distributed, the capability estimates will not be accurate for your process. For details, go to Minitab Help: Data considerations for Normal Capability Analysis.

Nonnormal capability analysis

Use a nonnormal capability analysis to evaluate the capability of your process based on a nonnormal distribution.

For example, administrators at a medical center want to evaluate wait times for patients with scheduled medical appointments. The administrators fit a Weibull distribution to the process data to analyze its capability. To see an example, go to Minitab Help: Example of Nonnormal Capability Analysis.

Data considerations

Your data must be continuous Y (output), with at least one specification limit. The data must follow the selected nonnormal distribution. If the selected distribution does not closely fit the data, the capability estimates will not be accurate. For details, go to Minitab Help: Data considerations for Nonnormal Capability Analysis.

Normal Capability Sixpack

Use a Normal Capability Sixpack to assess the assumptions for normal capability analysis and to evaluate only the major indices of process capability.

For example, a quality analyst uses a normal capability analysis to evaluate how well the process meets the specifications of 20 ± 0.1 mm, based on a normal distribution of the data. To see an example, go to Minitab Help: Example of Normal Capability Sixpack.

Data considerations

Your data must be continuous Y (output), with at least one specification limit. The process capability estimates for this analysis are based on the normal distribution. If the data are not normally distributed, the capability estimates will not be accurate for your process. For details, go to Minitab Help: Data considerations for Normal Capability Sixpack.

Nonnormal Capability Sixpack

Use the Nonnormal Capability Sixpack to assess the assumptions for nonnormal capability analysis and evaluate only the major indices of overall capability.

For example, administrators at a medical center want to evaluate wait times for patients with scheduled medical appointments. The administrators fit a Weibull distribution to the process data to analyze its capability. To see an example, go to Minitab Help: Example of Nonnormal Capability Sixpack.

Data considerations

Your data must be continuous Y (output), with at least one specification limit. The data must follow the selected nonnormal distribution. If the selected distribution does not closely fit the data, the capability estimates will not be accurate. For details, go to Minitab Help: Data considerations for Nonnormal Capability Sixpack.

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