Statistical analysis in microbiology : statnotes
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...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Hoboken, New Jersey :
Wiley-Blackwell Publication ,
c2011
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| Subjects: |
Table of Contents:
- 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