Biostatistical AnalysisPresents a broad collection of data analysis techniques suitable for biological investigations, either as an introductory textbook assuming no prior knowledge of statistics, or as a reference on concepts and procedures of statistical analysis for professional use in the biological disciplines. Each |
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Page 275
... Chapter 14 ; Kirk , 1982 : Chapter 14 ; Maxwell and Delaney , 1990 : Chapter 9 ; Ostle and Mensing , 1975 : Chapter 13 ; Pedhazur , 1982 : Chapter 13 ; Scheffé , 1959 : Chapter 6 ; Wildt and Ahtola , 1978 ; Winer , Brown , and Michels , ...
... Chapter 14 ; Kirk , 1982 : Chapter 14 ; Maxwell and Delaney , 1990 : Chapter 9 ; Ostle and Mensing , 1975 : Chapter 13 ; Pedhazur , 1982 : Chapter 13 ; Scheffé , 1959 : Chapter 6 ; Wildt and Ahtola , 1978 ; Winer , Brown , and Michels , ...
Page 291
... ( Chapter 19 ) may be called for . 14.4 BLOCKED AND REPEATED - MEASURES EXPERIMENTAL DESIGNS We can devise ... Chapter 11 ) with respect to split - plot designs and Crowder and Hand ( 1990 : Chapter 3 ) , Dunn and Clark ( 1987 : Chapter 11 ) ...
... ( Chapter 19 ) may be called for . 14.4 BLOCKED AND REPEATED - MEASURES EXPERIMENTAL DESIGNS We can devise ... Chapter 11 ) with respect to split - plot designs and Crowder and Hand ( 1990 : Chapter 3 ) , Dunn and Clark ( 1987 : Chapter 11 ) ...
Page 423
... Chapter 9 ; Draper and Smith , 1981 : Chapter 6 ; Glantz and Slinker , 1990 : Chapter 6 ; Montgomery and Peck , 1992 : Chapter 7 ; Pedhazur 1982 : 150-171 ; Seber , 1977 : Chapter 12 ) , but there is no universal agreement among ...
... Chapter 9 ; Draper and Smith , 1981 : Chapter 6 ; Glantz and Slinker , 1990 : Chapter 6 ; Montgomery and Peck , 1992 : Chapter 7 ; Pedhazur 1982 : 150-171 ; Seber , 1977 : Chapter 12 ) , but there is no universal agreement among ...
Contents
POPULATIONS AND SAMPLES | 15 |
MEASURES OF DISPERSION AND VARIABILITY | 31 |
Exercises | 62 |
Copyright | |
25 other sections not shown
Common terms and phrases
analysis of variance ANOVA Appendix Table b₁ b₂ binomial distribution binomial test calculated cell Chapter chi-square confidence interval confidence limits cont contingency table correlation coefficient Critical Values data of Example degrees of freedom demonstrated in Example determine diets difference Distribution Numerator employed equal Equation estimate exact test experimental design Fisher groups hypothesis test interaction levels of factor linear males Mann-Whitney test mean square measurements median mg/m³ Mmmmm multiple comparison multiple regression n₁ nonparametric normal approximation normal distribution null hypothesis number of data observed obtained one-tailed test parameter population mean probability procedure proportion R₁ random ranks ratio regression coefficients reject reject Ho residual sample sizes sampled population shown in Example significance species standard error sum of squares TABLE B.4 test statistic total number transformation two-sample Type I error v₁ weight X₁ zero ΣΧ