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QESuite

door Lucius LaFromboise Enterprises LLC

Perform advanced statistical analysis: Capability, ANOVA, Normality, Measurement Systems Analysis...

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.


Design of Experiments and ANOVA

  • One-Way ANOVA

    Perform one way ANOVAs and calculate ANOVA tables, descriptive statistics tables, and confidence intervals with one function.

    Generate interval plots with the ability select confidence intervals and switch between individual and pooled standard deviations.

  • Post-Hoc Testing

    When trying to determine which treatment groups are significant it is important to have tests that can evaluate statistical significance. QESuite provides the Tukey Pairwise Comparison, Fisher Least Significant Difference Method, and Duncan Multiple Range Test.

  • Two-Way ANOVA

    Perform two-way ANOVAs with the ability to include or ignore interaction effects.

    Generate interaction plots and main effect plots.

  • Analysis of Means (ANOM)

    Perform Analysis of Means to calculate decision limits and evaluate each mean based on the decision limits.

    Generate ANOM plot to visualize the group means and easily identify means outside of the decision limits.

  • Equality of Variance Testing

    ANOVAs require the assumption that all groups are equivalent (similar). QESuite provides tests for the homogeneity of variance: Levene's Test, Bartlett's Test, F-Test.

  • 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.

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.

  • Lilliefors (Corrected KS) Test

    Performs the Lilliefors (Corrected KS) Test for Normality. Generates a normal probability plot.

  • Ryan-Joiner

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

  • Shapiro-Wilk

    Performs the Shapiro-Wilk Test for Normality. Generates a normal probability plot.

  • Shapiro-Wilk Royston

    Performs the Royston Expanded Shapiro-Wilk Test for Normality. Generates a normal probability plot.

Mogelijkheden van de app

Wanneer deze app wordt gebruikt, kan deze
  • Lezen en wijzigingen aan uw document aanbrengen
  • Gegevens via internet verzenden

Een overzicht

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