JMP Software: 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. 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.

În urma acestui curs, veți învăța să use JMP software to

• 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.

Cine ar trebui să participe la curs

Analysts and researchers with some statistical knowledge

Formate disponibile	Durata
Curs Live Web:	4 sesiune/sesiuni de o jumătate de zi
e-Learning:	14 ore/180 zi/zile licență

Before attending the course, you should complete the JMP® Software: A Case Study Approach to Data Exploration course or have equivalent experience.

Acest curs este despre JMP software.

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