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JMP® Education

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JMP®: Statistical Decisions Using ANOVA and Regression

This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable, and introduces statistical model building.

You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals and hypothesis testing are introduced and applied. The course also covers principles of model building, including model interpretation and addressing violations of statistical assumptions. Capstone practices at the end of the course allow students to apply their knowledge.

Duration: 4 half-day sessions

Registration Fee: $400 US

Free On-Demand e-Learning

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Learn how to:
  • Interpret confidence intervals.
  • Perform hypothesis tests and interpret p-values.
  • Explore relationships with scatterplots and correlation statistics.
  • 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.

Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration course or have equivalent experience.

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

 

References

 

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

This course is not available at this time. Please check back at a later date.

Don’t see a course you want listed on the dates that you need? Contact us at training@jmp.com.