The Practice of Statisticsย in the Life Sciences gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Mooreโsย The Basic Practice of Statistics, PSLS mirrors that #1 bestsellerโs signature emphasis on statistical thinking, real data, and what statisticians actually do.
Achieveย forย The Practice of Statisticsย in the Life Sciences connects the problem-solving approach and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.
Table of Contents
Part I: Collecting and Exploring Data
Covers data visualization, numerical summaries, relationships between variables, and how to properly collect data.
Exploring Data: Variables and Distributions
Chapter 1 โ Picturing Distributions with Graphs
Chapter 2 โ Describing Quantitative Distributions with Numbers
Exploring Data: Relationships
Chapter 3 โ Scatterplots and Correlation
Chapter 4 โ Regression
Chapter 5 โ Two-Way Tables
Producing Data
Chapter 6 โ Samples and Observational Studies
Chapter 7 โ Designing Experiments
Chapter 8 โ Collecting and Exploring Data: Part I Review
Part II: From Chance to Inference
Introduces probability foundations, probability distributions, and the conceptual bridge toward statistical inference.
Probability Rules
Chapter 9 โ Essential Probability Rules
Chapter 10 โ Independence and Conditional Probabilities
Probability Distributions
Chapter 11 โ The Normal Distributions
Chapter 12 โ Discrete Probability Distributions
Chapter 13 โ Sampling Distributions
The Idea of Inference
Chapter 14 โ Introduction to Inference
Chapter 15 โ Inference in Practice
Chapter 16 โ From Chance to Inference: Part II Review
Part III: Statistical Inference
Focuses on applying inferential methods to quantitative and categorical data, as well as relationships among variables.
Inference about Quantitative Variables
Chapter 17 โ Inference about a Population Mean
Chapter 18 โ Comparing Two Means
Inference about Categorical Variables
Chapter 19 โ Inference about a Population Proportion
Chapter 20 โ Comparing Two Proportions
Chapter 21 โ The Chi-Square Test for Goodness of Fit
Inference about Relationships
Chapter 22 โ The Chi-Square Test for Two-Way Tables
Chapter 23 โ Inference for Regression
Chapter 24 โ One-Way Analysis of Variance (Comparing Several Means)
Chapter 25 โ Statistical Inference: Part III Review
Part IV: Optional Companion Chapters
Advanced topics available online covering deeper ANOVA techniques, nonparametric methods, and regression models.
Chapter 26 โ More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA
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