support & services / Education

JMP Software: ANOVA and Regression - JANR9

This course teaches how to analyse data with a single continuous response variable using analysis of variance and regression methods. 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.

  Download course description as PDF     Register now  

Duration:

2 days - Classroom

Learn how to use JMP software to:

  • compare two means using a t-test
  • generate and interpret an analysis of variance to compare more than two means
  • analyse relationships between continuous variables using simple and multiple linear regression models
  • perform an analysis of covariance to incorporate continuous and categorical predictors
  • evaluate assumptions in statistical hypothesis testing.

Who should attend?

Analysts and researchers with some statistical knowledge

Prerequisites

Before attending the course, you should complete the JMP Software: Data Exploration course or have equivalent experience.

Course Contents

Introduction to Statistics

  • reviewing populations and samples
  • exploring data with descriptive statistics and graphs
  • generating and understanding confidence intervals
  • understanding statistical hypothesis tests

Comparing Means

  • analysing a one-sample t-test
  • analysing paired data
  • comparing two independent groups using a t-test

Analysis of Variance

  • fitting one-way ANOVA models
  • fitting one-way ANOVA models with multiple levels
  • performing multiple comparisons
  • examining ANOVA assumptions
  • fitting N-way ANOVA models
  • analysing power and sample size

Simple Linear Regression

  • using scatterplots and correlation statistics
  • performing simple linear regression
  • fitting polynomial regression models

Multiple Regression

  • performing multiple regression
  • performing multiple regression with interactions
  • performing stepwise regression

Regression Diagnostics

  • examining model assumptions
  • discovering multivariate outliers
  • investigating collinearity

Analysis of Covariance

  • fitting ANCOVA models with and without interactions

Software Addressed

This course addresses the following software product(s): JMP.

Book Your Place Today