Statistical analysis in microbiology
Subtitle: statnotes
By: Richard A. Armstrong and Anthony C. Hilton
Contributors: Hilton, Anthony C.
Publisher: Wiley-Blackwell Pub
Published: 2011
Place of publication: Hoboken, NJ
Language: eng
Number of pages: 170
ISBN-13: 9780470559307
Subjects: Statistical methods; Microbiology
Other titles: Statnotes
Notes: Includes bibliographical references (p. [153]-155) and index.
Table of contents: title: Are the data normally distributed?; title: Describing the normal distribution; title: Testing the difference between two groups; title: Wat if the data are not normally distributed?; title: Chi-square contingency tables; title: One-way analysis of variance (anova); title: Post hoc tests; title: Is one set of data more variable than another?; title: Statistical power and sample size; title: One-way analysis of variance (random effects model) : the nested or hierarchical design; title: Two-way analysis of variance; title: Two-factor analysis of variance; title: Split-plot analysis of variance; title: Repeated-measures analysis of variance; title: Correlation of two variables; title: Limits of agreement; title: Nonparametric correlation coefficients; title: Fitting a regression line to data; title: Using a regression line for prediction and calibration; title: Comparison of regression lines; title: Nonlinear regression : fitting an exponential curve; title: Nonlinear regression : fitting a general polynomial-type curve; title: Nonlinear regression : fitting a logistic growth curve; title: Nonparametric analysis of variance; title: Multiple linear regression; title: Stepwise multiple regression; title: Classification and dendrograms; title: Factor analysis and principal components analysis; title: Which test to use : table; title: Which test to use : key; title: Glossary of statistical terms and their abbreviations; title: Summary of sample size procedures for different statistical tests.