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.

Graphs and Charts

All functions are available for free but charts are part of the premium package. Please contact Lucius at Lucius.LaFromboise@engsuite.org for information on pricing for your organization.