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Edition: 06

Copyright: 2006

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

Copyright: 2006

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

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Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.

This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

**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 aboutVariation

**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

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Summary

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.

This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

Table of 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 aboutVariation

**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

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2006

International: No

Published: 2006

International: No

This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

**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 aboutVariation

**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