Palisade StatTools is one of the Adaptation technologies that can be called in realtime from Jube. What follows is a comprehensive guide to using Palisade StatTools. This guide will provide the skills needed create Adaptations, in Exhaustive, that can be integrated into Jube in realtime:

S01 Summary Statistics
 Nov 9, 2018 Introduction to Summary Statistics
 Nov 11, 2018 1) Configure a Dataset in Palisade StatTools.
 Nov 11, 2018 2) Creating a Histogram in StatTools.
 Nov 11, 2018 3) Creating Summary Statistics in Palisade StatTools.
 Nov 11, 2018 4) Calculating a ZScore in Excel.
 Nov 11, 2018 5) Creating Time Series Analysis in StatTools.

S02 Linear Regression
 Nov 9, 2018 Introduction to Linear Regression
 Nov 11, 2018 1) Creating a Scatter Plot to inspect a potential relationship between Dependent and Independent Variable.
 Nov 11, 2018 2) Create a Correlation Matrix using Spearman and Pearson.
 Nov 11, 2018 3) Ranking Correlation by Absolute Strength.
 Nov 11, 2018 4) Adding a Trend Line to a Scatter Plot.
 Nov 11, 2018 5) Creating a One Way Linear Regression Model.
 Nov 11, 2018 6) Deploying a One Way Linear Regression Model in Excel.
 Nov 11, 2018 7) Create a Stepwise Linear Regression Model.
 Nov 11, 2018 8) Create a Heat Map Correlation Matrix

S03 Logistic Regression
 Nov 9, 2018 Introduction to Logistic Regression
 Nov 11, 2018 1) Forward Stepwise Logistic Regression
 Nov 11, 2018 2) Output Logistic Regression Model as Probability and set Threshold Function.

S04 Monte Carlo Model
 Nov 9, 2018 Introduction to Monte Carlo Model
 Nov 11, 2018 1) Configure a Logistic Regression Model and Define Triangular Distribution.
 Nov 11, 2018 2) Running Monte Carlo Simulations.
 Nov 11, 2018 3) Performing Optimisation and Mitigation on Monte Carlo Simulation Data.
 Nov 11, 2018 4) Fitting a distribution