Which capability analyses are included in Minitab?

Use the following analyses when you have normal data or want to transform nonnormal data to fit a normal distribution. These analyses calculate both the potential (within) and actual (overall) capability of your process.

Normal Capability Analysis

To assess the capability of your process, use a capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Normal.

Normal Capability Analysis for Multiple Variables

To assess the capability of your process and also compare the capability of multiple process variables (or one variable that has grouping information), use a capability analysis for multiple variables. In Minitab, choose Stat > Quality Tools > Capability Analysis > Multiple Variables (Normal).

Between/Within Capability Analysis

To assess the capability of your process, such as a batch process that produces large variation between subgroups, use a between/within capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Between/Within.

Normal Capability Sixpack

To assess the assumptions of a normal capability analysis and evaluate only the major capability indices, use a capability Sixpack analysis. In Minitab, choose Stat > Quality Tools > Capability Sixpack > Normal.

Between/Within Capability Sixpack

To assess the assumptions of a between/within capability analysis and evaluate only the major capability indices, use a capability Sixpack analysis. In Minitab, choose Stat > Quality Tools > Capability Sixpack > Between/Within.

Use the following analyses to perform a capability analysis that does not use the normal distribution to model your process data. These analyses evaluate the overall capability of your process but do not include indices for potential (within) capability.

Nonnormal Capability Analysis

To choose the nonnormal distribution that best fits the data and assess the capability of your process, use a capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Nonnormal.

Nonnormal Capability Analysis for Multiple Variables

To assess the capability of your process with a nonnormal distribution and also compare the capability of multiple process variables (or one variable that has grouping information), use a capability analysis for multiple variables. In Minitab, choose Stat > Quality Tools > Capability Analysis > Multiple Variables (Nonnormal).

Nonnormal Capability Sixpack

To assess the assumptions of a nonnormal capability analysis and evaluate only the major capability indices, use a capability Sixpack analysis. In Minitab, choose Stat > Quality Tools > Capability Sixpack > Nonnormal.

Nonparametric Capability Analysis

To assess the capability of your process with no assumptions about the distribution of the data, use a nonparametric capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Nonparametric.

Use one of the following analyses to evaluate the capability of a process that produces attribute data.

Binomial capability analysis

To determine whether the percentage of defective items meets customer requirements, use a binomial capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Binomial.

Poisson capability analysis

To determine whether the rate of defects per unit (DPU) meets customer requirements, use a Poisson capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Poisson.

Use the following analyses to select a reasonable method for a capability analysis for continuous data. Use Automated Capability Analysis so that Minitab Statistical Software selects a reasonable method. Use Individual Distribution Identification to identify an appropriate distribution or transformation for your data before you perform an analysis. Johnson Transformation saves transformed data in the worksheet for custom analysis.

Automated Capability Analysis

To choose a normal, nonnormal, or nonparametric method that is reasonable for continuous data and to assess the capability of your process, use an automated capability analysis. In Minitab, choose Stat > Quality Tools > Capability Analysis > Automated.

Individual Distribution Identification

To determine which distribution fit or transformation is most effective for your data, so you can choose the appropriate capability analysis, use individual distribution identification. In Minitab, choose Stat > Quality Tools > Individual Distribution Identification. If a normal distribution fits your data, use a capability analysis for normal data. If another distribution fits your data, use a capability analysis for a nonnormal distribution. If no distribution fits the data, use a nonparametric capability analysis.

Johnson Transformation

To transform nonnormal data to follow a normal distribution and store the transformed data for future analysis, use the Johnson transformation. In Minitab, choose Stat > Quality Tools > Johnson Transformation.