Valoración del libro
Parámetros
- 608 páginas
- 22 horas de lectura
Más información sobre el libro
" Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. "--
Compra de libros
Intuitive biostatistics : A Nonmathematical Guide to Statistical Thinking, Harvey Motulsky
- Idioma
- Publicado en
- 2018
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- (Tapa blanda)
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- Título
- Intuitive biostatistics : A Nonmathematical Guide to Statistical Thinking
- Idioma
- Inglés
- Autores
- Harvey Motulsky
- Editorial
- Oxford University Press
- Publicado en
- 2018
- Formato
- Tapa blanda
- Páginas
- 608
- ISBN10
- 0190643560
- ISBN13
- 9780190643560
- Serie
- Etiquetas
- No ficción, Tecnología & Ingeniería, Salud & Medicina, Ciencia y Matemáticas, Medicina, Ciencia, Matemáticas, Tecnología, Educación, Medicina, Investigación
- Calificación
- 4,1 de 5
- Descripción
- " Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. "--