JMP Software: ANOVA and Regression (JANR7)
Duration
2 days
Description
This course teaches how to analyze data with a single continuous response variable using analysis of variance and regression methods in JMP 7. 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
- perform a t-test
- generate and interpret an analysis of variance
- create and interpret simple and multiple linear regression models
- perform an ANCOVA
- evaluate assumptions in statistical hypothesis testing.
Prerequisite Skills
Before attending the course, you should complete the JMP Software: Statistical Data Exploration course or have equivalent experience.
Course Topics
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
- analyzing a one-sample t-test
- analyzing paired data
- comparing two independent groups using a t-test
Analysis of Variance
- fitting one-way ANOVA models
- fitting one-way ANOVA models with a block
- performing multiple comparisons
- examining ANOVA assumptions
- fitting N-way ANOVA models
- using N-way ANOVA contrasts
- analyzing 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
Booking
Please contact the Education Team at SAS for the latest information on all SAS courses or to put your name on our specialised course waiting list.
