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# Perform advanced engineering statistical analysis.

QESuite enables you to perform the analyses below using functions

## Capability Analysis

• ### Capability Analysis

Calculates the all four capability indices: Cp, Cpk, Pp, Ppk. And generates a Capability Six Pack Chart

• ### Cp

Calculates the Cp capability index for the provided data.

• ### Cpk

Calculates the Cpk capability index for the provided data.

• ### Pp

Calculates the Pp capability index for the provided data.

• ### Ppk

Calculates the Ppk capability index for the provided data.

## Statistical Distributions

• ### *Supported Distributions*

Exponential

2 Parameter Exponential

Largest Extreme Value

Logistic

Loglogistic

2 Parameter Loglogistic

2 Parameter Lognormal

Normal

Smallest Extreme Value

Weibull

• ### Anderson-Darling

Performs the Anderson-Darling Goodness-of-Fit test with data against the specified distribution and generates a probability plot for the data and the specified distribution. Returns the Anderson-Darling Test statistic and associated p-value

• ### Maximum Likelihood

Estimates the parameters of the specified distribution using maximum likelihood estimation and generates a probability plot for the data and the specified distribution.

• ### Individual Distribution Identification

Performs an Individual Distribution Identification series, estimating parameters for each supported distribution and evaluating Goodness Of Fit with the AndersonDarling test and generates a chart with the probability plots for each distribution.

## Measurement Systems Analysis

• ### G1

Performs a Type 1 Gage Study using the data and specified tolerance. If a reference value is included it will calculate bias(Cgk). Generates a run chart of the data.

• ### GRR

Performs an ANOVA Gage R&R analysis. Generates a chart including the following graphs: Variance Components, Variation By Part, R-Chart, XBar-Chart, Variation By Operator and Part*Operator Interaction Chart.

## Normality

• ### Anderson-Darling

Performs the Anderson-Darling test using the normal distribution and generates a normal probability plot. Same function as previously mentioned in Distributions.

• ### Box-Cox Transformation

Performs a Box-Cox transformation using either the standard Box-Cox transformation formula or the Mintab Box-Cox formula. Capable of estimating the Box-Cox transformation coefficient, lambda. Returns an array of the transformed data. Generates a normal probability plot of the transformed data.

• ### Chebyshev

Evaluates the number of standard deviations the mean is from the closest spec limit to determine whether the effect of the distribution is significant. Generates a normal probability plot.

• ### Jarque-Bera

Performs the Jarque-Bera (skewness-kurtosis) Test for Normality. Generates a normal probability plot.

• ### Kolmogorov-Smirnov

Performs the Kolmogorov-Smirnov Test for Normality. Generates a normal probability plot.

• ### Ryan-Joiner

Performs the Ryan-Joiner Test for Normality. Generates a normal probability plot.