http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Based on the highly successful STATNOTES articles published in Microbiologist by the Society for Applied Microbiology, this book presents the most useful statistical tests in a clear way by applying them to real experiments in microbiology, meeting the need for a book devoted to data analysis in the field
1. Are the data normally distributed? -- 2. Describing the normal distribution -- 3. Testing the difference between two groups -- 4. Wat if the data are not normally distributed? -- 5. Chi-square contingency tables -- 6. One-way analysis of variance (anova) -- 7. Post hoc tests -- 8. Is one set of data more variable than another? -- 9. Statistical power and sample size -- 10. One-way analysis of variance (random effects model) : the nested or hierarchical design -- 11. Two-way analysis of variance -- 12. Two-factor analysis of variance -- 13. Split-plot analysis of variance -- 14. Repeated-measures analysis of variance -- 15. Correlation of two variables -- 16. Limits of agreement -- 17. Nonparametric correlation coefficients -- 18. Fitting a regression line to data -- 19. Using a regression line for prediction and calibration -- 20. Comparison of regression lines -- 21. Nonlinear regression : fitting an exponential curve -- 22. Nonlinear regression : fitting a general polynomial-type curve -- 23. Nonlinear regression : fitting a logistic growth curve -- 24. Nonparametric analysis of variance -- 25. Multiple linear regression -- 26. Stepwise multiple regression -- 27. Classification and dendrograms -- 28. Factor analysis and principal components analysis -- 29. Which test to use : table -- 30. Which test to use : key -- 31. Glossary of statistical terms and their abbreviations -- 32. Summary of sample size procedures for different statistical tests
Richard A. Armstrong and Anthony C. Hilton
Includes bibliographical references (p. [153]-155) and index