What's New in SigmaXL Version 7.0:

View our most recent Version 7 video tutorial here
View the "What's New in SigmaXL Version 7.0" Webinar here

• Automatic Assumptions Check for t-Tests and ANOVA
• Text report with color highlight: Green (OK), Yellow (Warning) and Red (Serious Violation)
• Test each sample for Normality. If not, check minimum sample size for robustness of test
  • Utilizes Monte Carlo regression equations provided in V6.2 template
  • If sample size is inadequate, a warning is given and a suitable Nonparametric Test is recommended
• Check each sample for Outliers
  • Potential: Tukey’s Boxplot 1.5*IQR; Likely: Tukey's Boxplot 2*IQR; Extreme: Tukey’s Boxplot 3*IQR
  • If outliers are present, warning and recommendation to review the data with a Boxplot and Normal Probability Plot
  • If the removal of outlier(s) result in an Anderson Darling Normality Test P-Value that is >.01, a notice is given that excluding the outlier(s), the sample data are inherently normal
• Randomness (Nonparametric Runs Test)
• If sample data is not random, warning and recommendation to review the data with a Run Chart
• Equal Variance (applicable for two or more samples)
• If all sample data are normal, F-Test or Bartlett’s Test is utilized, otherwise use Levene’s Test
• If the variances are unequal and the test being used is the equal variance option, then a warning is given and Welch’s test is recommended.
• Automatic Normality Check for Pearson Correlation
  • Utilizes the powerful Doornik-Hansen multivariate normality test
  • Yellow highlight to recommend significant Pearson or Spearman correlation
  • Pearson is highlighted if the data are bivariate normal, otherwise Spearman is highlighted
• Exact Statistics for One-Way Chi-Square, Two-Way (Contingecy) Table and Nonparametric Tests
  • Exact (utilizing permutations and fast network algorithims) or Monte Carlo P-Values
  • Appropriate when sample size is too small for Chi-Square or Normal approximation to be valid - for example, a contingency table where more than 20% of the cells have an expected count less than 5.
  • Exact statistics are typically available only in very expensive software packages
  • Fisher’s Exact for Two-Way (Row*Column Contingency) Tables
  • Exact One-Way Chi-Square godness of fit template
  • Exact Nonparametric Tests: Sign, Wilcoxon, Mann-Whitney, Kruskal-Wallis, Mood’s Median, and Runs Test
• Binary Attribute Measurement Systems Analysis (MSA)
• User Defines "Good Part" for Type I and Type II Error Report
• Confidence Intervals for Percent Agreement can be Wilson Score or Exact
• Confidence Interval Graphs for Percent Agreement and Fleiss' Kappa Coefficient
• Kappa color highlight to aid interpretation: Green (>.9), Yellow (.7-.9) and Red (<.7)
• Effectiveness Report (treats each appraisal trial as an opportunity) and Misclassifcation Summary
• Ordinal Attribute MSA
• Confidence Interval Graphs for Percent Agreement and Kendall's Coefficients (Concordance and Correlation)
• Kendall color highlight to aid interpretation
• Attribute MSA Raw Data with color highlight for deviation from reference
• Nominal Attribute MSA
• Confidence Interval Graphs for Percent Agreement and Fleiss' Kappa Coefficient
• Kappa color highlight to aid interpretation: Green (>.9), Yellow (.7-.9) and Red (<.7)
• Effectiveness Report and Misclassification Summary