Saltar al contenido principal
InicioProbability & StatisticsIntro to Statistics with R: Analysis of Variance (ANOVA)
Curso gratuito

# Intro to Statistics with R: Analysis of Variance (ANOVA)

Iniciar Curso Gratuito
4 Horas8 Videos40 Ejercicios
31.532 AprendicesDeclaración de cumplimiento

## Crea Tu Cuenta Gratuita

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
¿Entrenar a 2 o más personas?Pruebe DataCamp para empresas

## Descripción del curso

Analysis of Variance (ANOVA) is probably one of the most popular and commonly used statistical procedures. In this course, Professor Conway will cover the essentials of ANOVA such as one-way between groups ANOVA, post-hoc tests, and repeated measures ANOVA.
Empresas

### .css-1goj2uy{margin-right:8px;}Group.css-gnv7tt{font-size:20px;font-weight:700;white-space:nowrap;}.css-12nwtlk{box-sizing:border-box;margin:0;min-width:0;color:#05192D;font-size:16px;line-height:1.5;font-size:20px;font-weight:700;white-space:nowrap;}¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más
Pruebe DataCamp Para EmpresasPara obtener una solución a medida, reserve una demostración.
1. 1

### An introduction to ANOVA

Gratuito

In this first chapter you will learn the basic concepts of ANOVA based on the working memory training example. The difference and benefits compared to t-tests is explained, and you will see how you can compare two or more group means by engaging in ANOVA. Furthermore, you will get a deep understanding on F-tests and the corresponding distribution.

Reproducir Capítulo Ahora
Introduction to ANOVA
50 xp
Working memory experiment
100 xp
Difference between t-tests and ANOVA
50 xp
Exploration of the F-test
50 xp
Generate density plot of the F-distribution
100 xp
Why is the F-distribution always positive?
50 xp
F-ratio
50 xp
Between group sum of squares
100 xp
Within groups sum of squares
100 xp
Calculating the F-ratio
100 xp
ANOVA table
50 xp
A faster way: ANOVA in R
100 xp
Significance of the F-ratio
50 xp
Levene's test
100 xp
Does the assumption hold?
50 xp
2. 2

### Post-hoc analysis

Gratuito

The F-ratio you calculated in the previous chapter tells you if there is a significant effect somewhere across your groups, but it does not tell you which pairwise comparisons are significant. That is what the post-hoc tests explained in this chapter will do for you. Post-hoc tests such as Tukey’s and Bonferroni’s procedure allow for multiple comparisons without inflating the probability of a type I error.

3. 3

### Between groups factorial ANOVA

Gratuito

In this final chapter on ANOVA the different concepts behind a factorial ANOVA are explained. In a Factorial ANOVA you have two independent variables and one dependent continuous variable. This allows you to look at main effects, interaction effects, and simple effects. Special attention goes to effect size, post-hoc tests, simple effects analyses and the homogeneity of variance assumption.

Empresas

### Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más