Biostatistics for the Biological and Health Sciences with Statdisk

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the USA and an expert in the biological sciences field. The major objective of this book is to provide the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern introductory statistics course, an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

Contents
1 Introduction to Statistics

1-1 Overview

1-2 Types of Data

1-3 Design of Experiments
2 Describing, Exploring, and Comparing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Visualizing Data

2-4 Measures of Center

2-5 Measures of Variation

2-6 Measures of Relative Standing

2-7 Exploratory Data Analysis (EDA)
3 Probability

3-1 Overview

3-2 Fundamentals

3-3 Addition Rule

3-4 Multiplication Rule: Basics

3-5 Multiplication Rule: Conditional Probability

3-6 Relative Risk and Odds Ratio

3-7 Rates of Mortality, Fertility, and Morbidity

3-8 Counting Methods
4 Discrete Probability Distributions

4-1 Overview

4-2 Random Variables

4-3 Binomial Probability Distributions

4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution

4-5 The Poisson Distribution
5 Normal Probability Distributions

5-1 Overview

5-2 The Standard Normal Distribution

5-3 Applications of Normal Distributions

5-4 Sampling Distributions and Estimators

5-5 The Central Limit Theorem

5-6 Normal Approximation to Binomial

5-7 Assessing Normality
6 Estimates and Sample Sizes with One Sample

6-1 Overview

6-2 Estimating a Population Proportion

6-3 Estimating a Population Mean: s Known

6-4 Estimating a Population Mean: s Not Known

6-5 Estimating a Population Variance

7 Hypothesis Testing with One Sample

7-1 Overview

7-2 Basics of Hypothesis Testing

7-3 Testing a Claim about a Proportion

7-4 Testing a Claim about a Mean: s Known

7-5 Testing a Claim about a Mean: s Not Known

7-6 Testing a Claim about Variation
8 Inferences from Two Samples

8-1 Overview

8-2 Two Proportions

8-3 Two Means: Independent Samples

8-4 Two Means: Matched Pairs

8-5 Odds Ratios

8-6 Variation in Two Samples
9 Correlation and Regression

9-1 Overview

9-2 Correlation

9-3 Regression

9-4 Variation and Prediction Intervals

9-5 Multiple Regression
10 Multinomial Experiments and Contingency Tables

10-1 Overview

10-2 Multinomial Experiments: Goodness-0f-Fit

10-3 Contingency Tables: Independence and Homogeneity

10-4 McNemar’s Test for Matched Pairs
11 Analysis of Variance

11-1 Overview

11-2 One-Way ANOVA

11-3 Two-Way ANOVA

12 Nonparametric Statistics

12-1 Overview

12-2 Sign Test

12-3 Wilcoxon Signed-Ranks Test for Matched Pairs

12-4 Wilcoxon Rank-Sum Test for Two Independent Samples

12-5 Kruskal-Wallis Test

12-6 Rank Correlation

13 Life Tables

13-1 Overview

13-2 Elements of a Life Table

13-3 Applications of Life Tables

Appendix A: Tables

Appendix B: Data Sets

Appendix C: Answers to Odd-Numbered Exercises