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.

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.

A quién va dirigido

Formatos disponibles	Duración
Presencial:	2.0 días
Live Web:	4 sesiones de medio día
e-learning:	14 horas/180 día licencia

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

Este curso utiliza 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