Statistics done wrong : the woefully complete guide /
"Discusses how to avoid the most common statistical errors in modern research, and perform more accurate statistical analyses"--
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Francisco :
No Starch Press,
[2015]
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- An introduction to statistical significance
- Statistical power and underpowered statistics
- Pseudoreplication : choose your data wisely
- The p value and the base rate fallacy
- Bad judges of significance
- Double-dipping in the data
- Continuity errors
- Model abuse
- Researcher freedom : good vibrations?
- Everybody makes mistakes
- Hiding the data
- What can be done?