内容

目次

Preface; 1. Introduction; 2. 'Doing science' - hypotheses, experimentsand disproof; 3. Collecting and displaying data; 4. Introductory concepts ofexperimental design; 5. Doing science responsibly and ethically; 6.Probability helps you make a decision about your results; 7. Working fromsamples - data, populations and statistics; 8. Normal distributions - testsfor comparing the means of one and two samples; 9. Type 1 and type 2 error,power and sample size; 10. Single factor analysis of variance; 11. Multiplecomparisons after ANOVA; 12. Two-factor analysis of variance; 13. Importantassumptions of analysis of variance: transformations and a test for equalityof variances; 14. Two-factor analysis of variance without replication, andnested analysis of variance; 15. Relationships between variables: linearcorrelation and linear regression; 16. Linear regression; 17. Non-parametricstatistics; 18. Non-parametric tests for nominal scale data; 19.Non-parametric tests for ratio, interval or ordinal scale data; 20.Introductory concepts of multivariate analysis; 21. Introductory concepts ofsequence analysis; 22. Introductory concepts of spatial analysis; 23.Choosing a test; Appendix A. Critical values of chi-square, Student's t andF; Appendix B. Answers to questions; References; Index.