This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.
Learn how to
use JMP software to
 interpret confidence intervals
 perform hypothesis tests
 compare multiple population means with oneway ANOVA
 use simple linear regression to analyze relationships between continuous variables
 use the general linear model to build models between a continuous response and any number of continuous or categorical predictors
 assess interactions between factors and curvature
 evaluate assumptions of statistical hypothesis testing.
Who should attend
Analysts and researchers with some statistical knowledge
Formats available  Duration   
Live Web Classroom: 
4 halfday session(s) 
eLearning: 
14 hours/180 day license 

Before attending the course, you should complete the JMP Software: A Case Study Approach to Data Exploration course or have equivalent experience.
This course addresses JMP software.