The Analysis of Biological Data
by Michael C. Whitlock, Dolph Schluter
3rd Edition
Publisher: W.H. Freeman & Company
Book Details
| Print ISBN | 9781319325343 |
| eText ISBN | 9781319325350 |
| Publisher | W.H. Freeman & Company |
| Publishing Year | 2020 |
| Edition | 3rd Edition |
| Language | English |
Modern biology has transformed into a deeply quantitative science, where massive datasets require robust analytical tools. The Analysis of Biological Data 3rd Edition addresses this critical need by offering an intuitive, mathematically sound introduction to biostatistics. Designed specifically for life science students, this volume bridges the gap between abstract mathematical theory and real-world scientific inquiry. By grounding statistical methods in genuine biological questions, the text helps students overcome quantitative anxiety and develop a genuine appreciation for data analysis. This pedagogical shift is absolutely essential for preparing the next generation of researchers to tackle complex ecological, genetic, and medical challenges.
Authors Michael Whitlock and Dolph Schluter bring their extensive research experience to the forefront, structuring the material around actual scientific problems. Instead of presenting formulas in isolation, they introduce concepts through fascinating case studies ranging from evolutionary genetics to animal behavior. This contextual approach ensures that readers understand not just how to calculate a test statistic, but why a specific test is appropriate for a given biological scenario. The coverage spans descriptive statistics, hypothesis testing, experimental design, and advanced regression techniques, providing a comprehensive toolkit for modern researchers. By emphasizing intuitive reasoning over rote memorization, the authors successfully cultivate a deeper statistical literacy.
This updated version introduces hundreds of contemporary biological examples and exercises, reflecting the latest shifts in scientific literature. Instructors worldwide adopt The Analysis of Biological Data 3rd Edition because of its unparalleled clarity, practical problem sets, and seamless integration with modern statistical software. For students seeking flexible digital access, utilizing The Analysis of Biological Data 3rd Edition PDF offers a convenient way to study complex statistical tables and interactive figures on any device. Ultimately, this textbook serves as an indispensable resource for undergraduate biology majors, graduate students, and practicing researchers who want to master the essential quantitative skills of their trade. It remains a gold standard in life science education.
Table of Contents
Chapter 1: Statistics and Samples
- • Populations and Samples
- • Properties of Good Samples
- • Types of Variables
- • Experimental and Observational Studies
Chapter 2: Displaying Data
- • Graphing Categorical Data
- • Graphing Numerical Data
- • Association Between Variables
- • How to Draw Bad Graphs
Chapter 3: Describing Data
- • Arithmetic Mean and Median
- • Measures of Variability
- • Standard Deviation and Variance
- • Cumulative Relative Frequency
Chapter 4: Estimating with Uncertainty
- • The Sampling Distribution of an Estimate
- • Measuring Precision with Standard Error
- • Confidence Intervals
- • Standard Error vs Standard Deviation
Chapter 5: Probability
- • Venn Diagrams and Mutually Exclusive Events
- • Addition and Multiplication Rules
- • Conditional Probability and Independence
- • Bayes' Theorem
Chapter 6: Hypothesis Testing
- • Null and Alternative Hypotheses
- • The Test Statistic and P-Value
- • Type I and Type II Errors
- • One-Sided vs Two-Sided Tests
Chapter 7: Analyzing Proportions
- • The Binomial Distribution
- • The Binomial Test
- • Estimating Proportions with Confidence Intervals
- • Goodness-of-Fit Tests
Chapter 8: Fitting Probability Models to Frequency Data
- • Chi-Square Goodness-of-Fit Test
- • Proportions of Categorical Variables
- • Random GPS Locations
- • Poisson Distribution
Chapter 9: Contingency Analysis: Association Between Categorical Variables
- • Association Between Two Categorical Variables
- • Chi-Square Test of Independence
- • Fisher's Exact Test
- • Odds Ratios
Chapter 10: The Normal Distribution
- • Properties of the Normal Distribution
- • The Standard Normal Distribution
- • The Central Limit Theorem
- • Normal Approximation to the Binomial
Chapter 11: Inference for a Normal Population
- • The Student's t-Distribution
- • One-Sample t-Test
- • Confidence Interval for the Population Mean
- • Assumptions of the One-Sample t-Test
Chapter 12: Comparing Two Means
- • Paired t-Test
- • Two-Sample t-Test
- • F-Test of Equal Variances
- • Comparing Medians
Chapter 13: Handling Violations of Assumptions
- • Detecting Deviations from Normality
- • Data Transformations
- • Non-parametric Alternatives
- • The Mann-Whitney U Test
Chapter 14: Designing Experiments
- • Reducing Bias: Controls, Randomization, Blinding
- • Reducing Sampling Error: Replication, Balance, Blocking
- • Choosing a Sample Size
- • Power Analysis
Chapter 15: Comparing Means of More Than Two Groups
- • Analysis of Variance (ANOVA)
- • The ANOVA F-Test
- • Planned and Unplanned Comparisons
- • Kruskal-Wallis Test
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- The Analysis of Biological Data , 3rd Edition | Macmillan Learning AU
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