Biostatistics for the Biological and Health Sciences, 3rd edition
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Hallmark features of this title
- Carefully selected real data: 92% of examples and 92% of exercises are based on real data.
- Margin essays illustrate uses and abuses of statistics in real, practical and interesting applications.
- Flow charts throughout simplify and clarify more complex concepts and procedures.
- Easy-to-assign exercises are graded by difficulty. Exercises that are particularly difficult or involve a new concept appear at the end of exercise sets and are marked by an asterisk for instructors’ convenience.
- End-of-chapter features include chapter reviews, review exercises, From Data to Decision: Critical Thinking capstone problems, group activities, and more.
- The latest and best methods used by professional statisticians are incorporated.
Published by Pearson (July 6th 2023) - Copyright © 2024
Subject: Advanced Statistics
Table of contents
1. Introduction to Statistics
- 1-1 Statistical and Critical Thinking
- 1-2 Types of Data
- 1-3 Collecting Sample Data
- 1-4 Ethics in Statistics (download only)
2. Exploring Data with Tables and Graphs
- 2-1 Frequency Distributions for Organizing and Summarizing Data
- 2-2 Histograms
- 2-3 Graphs That Enlighten and Graphs That Deceive
- 2-4 Scatterplots, Correlation, and Regression
3. Describing, Exploring, and Comparing Data
- 3-1 Measures of Center
- 3-2 Measures of Variation
- 3-3 Measures of Relative Standing and Boxplots
- 4-1 Basic Concepts of Probability
- 4-2 Addition Rule and Multiplication Rule
- 4-3 Complements, Conditional Probability, and Bayes’ Theorem
- 4-4 Risks and Odds
- 4-5 Rates of Mortality, Fertility, and Morbidity
- 4-6 Counting
5. Discrete Probability Distributions
- 5-1 Probability Distributions
- 5-2 Binomial Probability Distributions
- 5-3 Poisson Probability Distributions
6. Normal Probability Distributions
- 6-1 The Standard Normal Distribution
- 6-2 Real Applications of Normal Distributions
- 6-3 Sampling Distributions and Estimators
- 6-4 The Central Limit Theorem
- 6-5 Assessing Normality
- 6-6 Normal as Approximation to Binomial (download only)
7. Estimating Parameters and Determining Sample Sizes
- 7-1 Estimating a Population Proportion
- 7-2 Estimating a Population Mean
- 7-3 Estimating a Population Standard Deviation or Variance
- 7-4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
- 8-1 Basics of Hypothesis Testing
- 8-2 Testing a Claim About a Proportion
- 8-3 Testing a Claim About a Mean
- 8-4 Testing a Claim About a Standard Deviation or Variance
- 8-5 Resampling: Using Technology for Hypothesis Testing<
9. Inferences from Two Samples
- 9-1 Two Proportions
- 9-2 Two Means: Independent Samples
- 9-3 Matched Pairs
- 9-4 Two Variances or Standard Deviations
- 9-5 Resampling: Using Technology for Inferences
10. Correlation and Regression
- 10-1 Correlation
- 10-2 Regression
- 10-3 Prediction Intervals and Variation
- 10-4 Multiple Regression
- 10-5 Dummy Variables and Logistic Regression
11. Goodness-of-Fit and Contingency Tables
- 11-1 Goodness-of-Fit
- 11-2 Contingency Tables
12. Analysis of Variance
- 12-1 One-Way ANOVA
- 12-2 Two-Way ANOVA
13. Nonparametric Tests
- 13-1 Basics of Nonparametric Tests
- 13-2 Sign Test
- 13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
- 13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
- 13-5 Kruskal-Wallis Test for Three or More Samples
- 13-6 Rank Correlation
14. Survival Analysis
- 14-1 Life Tables
- 14-2 Kaplan-Meier Survival Analysis
A: Tables and Formulas
B: Data Sets
C: Websites and Bibliography of Books
D: Answers to Odd-Numbered Section Exercises (and all Quick Quizzes, all Review Exercises, and all Cumulative Review Exercises)
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