Table of Contents

Cover

Title page

Copyright page

Preface

Chapter 1 Variation

1.1 VARIATION

1.2 COLLECTING DATA

1.3 SUMMARIZING YOUR DATA

1.4 REPORTING YOUR RESULTS

1.5 TYPES OF DATA

1.6 DISPLAYING MULTIPLE VARIABLES

1.7 MEASURES OF LOCATION

1.8 SAMPLES AND POPULATIONS

1.9 SUMMARY AND REVIEW

Chapter 2 Probability

2.1 PROBABILITY

2.2 BINOMIAL TRIALS

*2.3 CONDITIONAL PROBABILITY

2.4 INDEPENDENCE

2.5 APPLICATIONS TO GENETICS

2.6 SUMMARY AND REVIEW

Chapter 3 Two Naturally Occurring Probability Distributions

3.1 DISTRIBUTION OF VALUES

3.2 DISCRETE DISTRIBUTIONS

3.3 THE BINOMIAL DISTRIBUTION

3.4 MEASURING POPULATION DISPERSION AND SAMPLE PRECISION

3.5 POISSON: EVENTS RARE IN TIME AND SPACE

3.6 CONTINUOUS DISTRIBUTIONS

3.7 SUMMARY AND REVIEW

Chapter 4 Estimation and the Normal Distribution

4.1 POINT ESTIMATES

4.2 PROPERTIES OF THE NORMAL DISTRIBUTION

4.3 USING CONFIDENCE INTERVALS TO TEST HYPOTHESES

4.4 PROPERTIES OF INDEPENDENT OBSERVATIONS

4.5 SUMMARY AND REVIEW

Chapter 5 Testing Hypotheses

5.1 TESTING A HYPOTHESIS

5.2 ESTIMATING EFFECT SIZE

5.3 APPLYING THE T-TEST TO MEASUREMENTS

5.4 COMPARING TWO SAMPLES

5.5 WHICH TEST SHOULD WE USE?

5.6 SUMMARY AND REVIEW

Chapter 6 Designing an Experiment or Survey

6.1 THE HAWTHORNE EFFECT

6.2 DESIGNING AN EXPERIMENT OR SURVEY

6.3 HOW LARGE A SAMPLE?

6.4 META-ANALYSIS

6.5 SUMMARY AND REVIEW

Chapter 7 Guide to Entering, Editing, Saving, and Retrieving Large Quantities of Data Using R

7.1 CREATING AND EDITING A DATA FILE

7.2 STORING AND RETRIEVING FILES FROM WITHIN R

7.3 RETRIEVING DATA CREATED BY OTHER PROGRAMS

7.4 USING R TO DRAW A RANDOM SAMPLE

Chapter 8 Analyzing Complex Experiments

8.1 CHANGES MEASURED IN PERCENTAGES

8.2 COMPARING MORE THAN TWO SAMPLES

8.3 EQUALIZING VARIABILITY

8.4 CATEGORICAL DATA

8.5 MULTIVARIATE ANALYSIS

8.6 R PROGRAMMING GUIDELINES

8.7 SUMMARY AND REVIEW

Chapter 9 Developing Models

9.1 MODELS

9.2 CLASSIFICATION AND REGRESSION TREES

9.3 REGRESSION

9.4 FITTING A REGRESSION EQUATION

9.5 PROBLEMS WITH REGRESSION

9.6 QUANTILE REGRESSION

9.7 VALIDATION

9.8 SUMMARY AND REVIEW

Chapter 10 Reporting Your Findings

10.1 WHAT TO REPORT

10.2 TEXT, TABLE, OR GRAPH?

10.3 SUMMARIZING YOUR RESULTS

10.4 REPORTING ANALYSIS RESULTS

10.5 EXCEPTIONS ARE THE REAL STORY

10.6 SUMMARY AND REVIEW

Chapter 11 Problem Solving

11.1 THE PROBLEMS

11.2 SOLVING PRACTICAL PROBLEMS

Answers to Selected Exercises

Index