- Life sciences -- Statistical methods.
- Life sciences -- Research -- Methodology
- 0199219990 (pbk.) :
- 9780199219995 (pbk.) :
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- Previous ed.: 2005.
- Includes bibliographical references and index.
- CHAPTER 1: WHY AM I READING THIS BOOK?; 1.1 My lecturer is a sadist!; 1.2 Doing science: the big picture; 1.3 The process in practice; 1.4 Essential skills for doing science; 1.5 Types of data analysis; CHAPTER 2: GETTING TO GRIPS WITH THE BASICS; 2.1 Populations and samples; 2.2 Variation and variables; 2.3 Understanding data; 2.4 Demystifying formulae; CHAPTER 3: DESCRIBING A SINGLE SAMPLE; 3.1 The single sample; 3.2 Descriptive statistics; 3.3 Frequency distributions; 3.4 Pies, boxes, and errors; 3.5 Example data: ranger patrol tusk records; 3.6 Worked example: using SPSS; CHAPTER 4: INFERRING AND ESTIMATING; 4.1 Overview of inferential statistics; 4.2 Inferring through estimation; 4.3 Exampledata: ground squirrels; 4.4 Worked example: using SPSS; CHAPTER 5: OVERVIEW OF HYPOTHESIS TESTING; 5.1 Four steps of (statistical) hypothesis testing; 5.2 Error and power; 5.3 Parametric and nonparametric; 5.4 One-and two-tailed tests; CHAPTER 6: TESTS ON FREQUENCIES; 6.1 Introduction to chi-square tests; 6.2 Example data; 6.3 One-way classification chi-square test; 6.4 Two-way classification chi-square test; CHAPTER 7: TESTS OF DIFFERENCE: TWO UNRELATED SAMPLES; 7.1 Introduction to the t-and Mann-Whitney U tests; 7.2 Example data: dem bones; 7.3 t-Test; 7.4 Mann-Whitney U test; CHAPTER 8: TESTS OF DIFFERENCE: TWO RELATED SAMPLES; 8.1 Introduction to paired t- and Wilcoxon signed- rank tests; 8.2 Example data: big horn ewes; 8.3 Paired t-test; 8.4 Wilcoxon signed-rank test; CHAPTER 9: TESTS OF DIFFERENCE: MORE THAN TWO SAMPLES; 9.1 Introduction to one-way and Kruskal-Wallis Anov atests; 9.2 Example data: nitrogen levels in reeds; 9.3 One-way Anova test; 9.4 Two-way Anova test; 9.5 Kruskal-Wallis test; 9.6 Model I and model II Anova; CHAPTER 10: TESTS OF RELATIONSHIP: REGRESSION; 10.1 Introduction; 10.2 Example data: species richness; 10.3 Regression test; 10.4 Logistic regression; 10.5 Multiple regression; 10.6 Model I and model II regression; CHAPTER 11: TESTS OF RELATIONSHIP: CORRELATION; 11.1 Introduction to the Pearson and Spearman correlation tests; 11.2 Example data: eyeballs; 11.3 Pearson correlation test; 11.4 Spearman correlation test; 11.5 Comparison of correlation and regression; CHAPTER 12: INTRODUCING TH GENERAL LINEAR MODEL; 12.1 Introduction to General Linear Model; 12.2 Example data: watered willow; 12.3 Testing using the General Linear Model; 12.4 Interaction; 12.5 Random factors and mixed models; 12.6 Types of sums of squares; 12.7 Getting the most out of GLM: Multiple models and model choice; 12.8 The general and generalized linear models compared; CHAPTER 13: CHOOSING THE RIGHT TEST AND GRAPH; 13.1 Introduction to choosing; 13.2 Which test?; 13.3 Which graph?; 13.4 Worked examples: graphs using SPSS; 13.5 How to report your results
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