Titre :
|
Biostatistical analysis
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Auteurs :
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J. Zar
|
Type de document :
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ouvrage
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Editeur :
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Upper Saddle River, USA, 3e éd. : Prentice Hall, 1996
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ISBN/ISSN/EAN :
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0-13-086398-X
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Format :
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918 p.
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Note générale :
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19 p. de bibliogr.
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Langues:
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= Anglais
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Catégories :
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Informatique, statistique, mathématique
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Mots-clés:
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ANALYSE STATISTIQUE
;
STATISTIQUE
;
BIOLOGIE
;
ECHANTILLONNAGE STATISTIQUE
;
CALCUL DE PROBABILITE
;
ANALYSE DE VARIANCE
;
REGRESSION
;
CORRELATION
;
LOI DE DISTRIBUTION
|
Résumé :
|
Many investigations in the biological sciences are quantitative, with observations consisting of numerical facts called data. (One numerical fact is a datum). As biological entities are counted or measured, it becomes apparent that some objective methods are necessary to aid the investigator in presenting and analyzing research data. Contents : introduction ; populations and samples ; measures of central tendency ; measures of dispersion and variability ; probalities ; the normal distribution ; one-sample hypotheses ; two-sample hypotheses ; paired-sample hypotheses ; multisample hypotheses : the analysis of variance ; multiple comparisons ; two-factor analysis of variance ; data transformations ; multiway factorial analysis of variance ; nested (hierarchical) analysis of variance ; simple linear regression ; comparing simple linear regression equations.
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