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.

• 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 should attend

Formats available	Standard duration
Classroom:	2 days
e-Learning:	14 hours/180 day license	System Requirements

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.

• Statistical concepts.
• Descriptive statistics and some of their graphs.
• Inferential statistics.
• Hypothesis tests.
• One-sample t test.

• One-way ANOVA.
• Multiple comparisons.
• Power and sample size.

• Exploring relationships.
• Simple linear regression.
• Polynomial regression.

• Introduction to model building.
• Combining factors.
• Model interpretation.
• When things go wrong.

• Paired t test.
• Alternatives to ANOVA when assumptions are violated.
• Contrasts in n-way ANOVA.
• Equivalence testing.