Our new version 2014.2 is now available with updates and new features :
Running the ANOVA:
- An increase in speed: In order to improve the processing speed of your data treatment and large volumes of data, the analysis of variance (ANOVA) is now much faster.
- New feature: When fitting an ANOVA model, you can now test contrasts and their significance.
- New output in regression analysis: Studentized residuals are now available to help you validate the hypothesis on your observations.
Using Box Plots:
- XLSTAT allows you to group your box plot by using various methods (by categories or by variables).
New descriptive statistics are available for qualitative variables (including proportions, confidence intervals around the proportions and confidence intervals around the frequencies).
This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data
This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.
This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.