Live Panel Discussion - Leveraging Red Hat OpenShift for a Multi-Cloud Strategy


JMP(R) Software: Statistical Decisions Using ANOVA and Regression

Course Details
Code: JANR14
Tuition (USD): $1,300.00 • Classroom (2 days)
$1,300.00 • Virtual (2 days)

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.

Skills Gained

  • interpret confidence intervals
  • perform hypothesis tests
  • compare multiple population means with one-way 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 Can Benefit

  • Analysts and researchers with some statistical knowledge


  • Before attending the course, you should complete the Statistical Data Exploration Using JMP(R) Software course or have equivalent experience.

Course Details

Introduction to Statistics

  • statistical concepts
  • descriptive statistics and some of their graphs
  • inferential statistics
  • hypothesis tests
  • one-sample test

Analysis with a Categorical Factor

  • one-way ANOVA
  • multiple comparisons
  • power and sample size

Analysis with a Continuous Factor

  • exploring relationships
  • simple linear regression
  • polynomial regression

Model Building

  • introduction to model building
  • combining factors
  • model interpretation
  • when things go wrong

Capstone Exercises


Additional Resources

  • paired test
  • alternatives to ANOVA when assumptions are violated
  • contrasts in n-way ANOVA
  • equivalence testing