Titre :	Foundational and applied statistics for biologists using R
Type de document :	texte imprimé
Auteurs :	Ken A. Aho, Auteur
Editeur :	London : CRC press
Année de publication :	2023
Importance :	1 vol. (xxi, 596 pages)
Présentation :	illustrations
Format :	26 cm
ISBN/ISSN/EAN :	978-1-03-247741-1
Langues :	Anglais
Catégories :	Biologie ( B-Cellulaire - B-Animale - B-Végétale - B-moléculaire - Cytologie )
Mots-clés :	Statistiques fondamentales  biologistes
Index. décimale :	570.1 Philosophie et théorie de la biologie et des sciences de la vie
Résumé :	Full Of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts.
Note de contenu :	Sommaire: -1- Philosophical and Historical Foundations -2- Introduction to Probability. -3- Probability Density Functions. -4- Parameters and Statistics. -5- Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. -6- Hypothesis Testing. -7- Sampling Design and Experimental Design.

Foundational and applied statistics for biologists using R [texte imprimé] / Ken A. Aho, Auteur . - London : CRC press, 2023 . - 1 vol. (xxi, 596 pages) : illustrations ; 26 cm.
ISBN : 978-1-03-247741-1
Langues : Anglais

Catégories :	Biologie ( B-Cellulaire - B-Animale - B-Végétale - B-moléculaire - Cytologie )
Mots-clés :	Statistiques fondamentales  biologistes
Index. décimale :	570.1 Philosophie et théorie de la biologie et des sciences de la vie
Résumé :	Full Of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts.
Note de contenu :	Sommaire: -1- Philosophical and Historical Foundations -2- Introduction to Probability. -3- Probability Density Functions. -4- Parameters and Statistics. -5- Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. -6- Hypothesis Testing. -7- Sampling Design and Experimental Design.