• Data Selection Default:

                        Option to “Always use my pre-selected data.”  

• Stack Subgroups Across Rows
   
• Standardize Data:

• Standardize ((Yi-Mean)/StDev) or Coded (Ymax = +1; Ymin = -1)  

• Multiple Dotplots
   
• Improved Multiple Linear Regression:

• Accepts continuous and/or categorical (discrete) predictors
• Interactive Predicted Response Calculator with 95% Confidence Interval and 95% Prediction Interval
• Residual types include Regular, Standardized, Studentized (Deleted t) and Cook's Distance (Influence), Leverage and DFITS
• Highlight of significant outliers in residuals
• Durbin-Watson Test for Autocorrelation in Residuals with p-value
• ANOVA report for categorical predictors
• Pure Error and Lack-of-Fit report
• Collinearity Variance Inflation Factor (VIF) and Tolerance report  

• Measurement Systems Analysis:

• Basic MSA Templates
• Create Gage R&R (Crossed) Worksheet:

                        -       Generate worksheet with user specified number of parts, operators,                                  replicates

• Analyze Gage R&R (Crossed):

                        -       ANOVA, %Total, %Tolerance (2-Sided or 1-Sided), %Process,                                  Variance Components, Number of Distinct Categories

                        -       Gage R&R Multi-Vari and X-bar R Charts

                        -       Confidence Intervals for %Total, %Tolerance, %Process and                                  Standard Deviations

                        -       Handles unbalanced data (confidence intervals not reported in this                                  case)

• Attribute MSA (Binary):

                        -       User specified number of samples, appraisers and replicates

                        -       Within Appraiser Agreement, Each Appraiser vs Standard                                 Agreement, Each Appraiser vs Standard Disagreement, Between                                 Appraiser Agreement, All Appraisers vs Standard Agreement

                        -       Fleiss' kappa

 

• Process Capability:

• Process Capability/Sigma Level Templates
• Multiple Histograms and Process Capability
• Capability Combination Report for Individuals/Subgroups:

                        -       Histogram

                        -       Capability Report (Cp, Cpk, Pp, Ppk, Cpm, ppm, %)

                        -       Normal Probability Plot

                        -       Normality Test

                        -       Control Charts

• Box-Cox Transformation
   

• Design of Experiments:

• Basic DOE Templates
• Generate 2-Level Factorial and Plackett-Burman Screening Designs

                        -       User-friendly dialog box

                        -       2 to 19 Factors

                        -       4,8,12,16,20 Runs

                        -       Unique “view power analysis as you design”

                        -       Randomization, Replication, Blocking and Center Points

• Main Effects & Interaction Plots
• Analyze 2-Level Factorial and Plackett-Burman Screening Designs

                        -       Used in conjunction with Recall Last Dialog, it is very easy to                                  iteratively remove terms from the model

                        -       Interactive Predicted Response Calculator with 95% Confidence                                  Interval and 95% Prediction Interval.

                        -       ANOVA report for Blocks, Pure Error, Lack-of-Fit and Curvature

                        -       Collinearity Variance Inflation Factor (VIF) and Tolerance report

                        -       Residual plots: histogram, normal probability plot, residuals vs. time,                                  residuals vs. predicted and residuals vs. X factors

                        -       Highlight of significant outliers in residuals

                        -       Durbin-Watson Test for Autocorrelation  

·     Improved Control Charts:

                  o       Scroll through charts with user defined window size  

·     Reliability/Weibull Analysis:

                  o       Complete and Right Censored data

                  o       Least Squares and Maximum Likelihood methods

                  o       Output includes percentiles with confidence intervals, survival                             probabilities, and Weibull probability plot.