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Introductory Biological Statistics

by: Hampton, Raymond E.; Havel, John E.

Introductory Biological Statistics

by: Hampton, Raymond E.; Havel, John E.

ISBN 13:
9781577663805
ISBN 10:
1577663802
Edition: 2nd
Format: Paperback
Copyright: 08/22/2005
Publisher: Waveland Pr Inc
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Summary

"A thorough grounding in statistics is necessary for a career in any experimental science, but many students find themselves intimidated by the subject. Hampton and Havel have written this text with these students in mind. While providing the theory and assumptions necessary for a deep understanding of statistics, they make it approachable and keep it relevant to the interests of biology students. Their examples and exercises show how to choose the appropriate statistical method for a particular hypothesis and how to execute that method using problems encountered by real-world biologists. The second edition has been ambitiously updated and reorganized, facilitating clearer connections between topics and improving clarity of those that are logically distinct."--BOOK JACKET.

Preface

Some Basic Concepts

(6)

What Is Statistics?

(1)

Populations and Samples

(1)

Randomness

(1)

Independence

(1)

Other Types of Samples

(2)

Key Terms

(1)

Exercises

(2)

Data Measurement and Management of Numbers

(6)

Variables and Data

(2)

Types of Variables

(1)

Significant Figures and Rounding Rules

(1)

Data and Their Representation

(1)

Scales of Measurement

(2)

The Nominal Scale

(1)

The Ordinal (Ranking) Scale

(1)

The Interval Scale and the Ratio Scale

(1)

Converting Data from One Scale to Another

(1)

Data Management

(2)

Key Terms

(1)

Exercises

(2)

Frequency Distributions and Graphic Presentation of Data

(6)

Frequency Distributions of Discrete Variables

(1)

Frequency Distributions of Continuous Variables

(1)

Histograms and Their Interpretation

(1)

Cumulative Frequency Distributions

(1)

Other Handy Graph Types

(2)

Key Terms

(1)

Exercises

(2)

Descriptive Statistics: Measures of Central Tendency and Dispersion

(10)

Sample Statistics and Population Parameters

(1)

Measures of Central Tendency

(3)

The Mode

(1)

The Median (θ, M)

(1)

The Mean (μ, x)

(1)

Positions of Mean, Median, and Mode in Symmetric and Skewed Distributions

(1)

Weighted Mean

(1)

Other Measures of Location

(1)

Measures of Dispersion

(3)

The Range

(1)

Interquartile Range

(1)

Standard Deviation (σ, s)

(2)

Coefficient of Variation

(1)

Descriptive Statistics from a Computer

(1)

Visualizing the Location of the Mean and Standard Deviation

(4)

Key Terms

(1)

Exercises

(3)

Probability and Discrete Probability Distributions

(10)

Probability and Probability Distributions

(2)

The Binomial Distribution

(4)

The Poisson Distribution

(4)

Key Terms

(1)

Exercises

(2)

The Normal Distribution

(10)

The Normal Distribution and Its Properties

(2)

The Standard Normal Distribution and Z Scores

(2)

Testing for Normality

(2)

Normal Approximation of the Binomial Distribution

(1)

Discrete Variables and the Normal Distribution

(1)

Parametric and Nonparametric Statistics

(3)

Key Terms

(1)

Exercises

(2)

Statistical Inference I: Estimation and Sampling Distributions

(10)

An Introduction to Statistical Inference

(1)

Estimating a Population Mean: The Central Limit Theorem

(2)

Estimating a Population Mean: Standard Error of the Mean

(1)

Confidence Interval of μ When σ is Known

(2)

Confidence Interval of μ When σ is Unknown: The t Distribution

(2)

Reporting a Sample Mean and Its Variation

(3)

Key Terms

(1)

Exercises

(3)

Statistical Inference II: Hypothesis Testing and the One-Sample t-Test

(8)

Statistical Hypothesis Testing and the Scientific Method

(1)

Test of a Hypothesis Concerning a Single Population Mean: The One-Sample t-Test

(2)

One-Tailed and Two-Tailed Hypothesis Tests

(1)

Statistical Decision Making and Its Potential Errors

(2)

Steps in Testing a Hypothesis

(2)

Key Terms

(1)

Exercises

(1)

Inferences Concerning Two Populations and Paired Comparisons

(16)

The t-Test for Two Independent Samples

(2)

Confidence Interval for the Difference between Two Population Means

(1)

A Nonparametric Test for Two Independent Samples: The Mann-Whitney Test

(2)

Tests for Two Related Samples

(1)

The Paired t-Test

(1)

Nonparametric Tests for Two Related Samples

(1)

The Sign Test

(1)

The Wilcoxon Signed-Ranks Test

(1)

Power of the Test: How Large a Sample is Sufficient?

(2)

Determining the Sample Size Needed to Detect a Minimum Effect

(1)

Determining Minimum Detectable Difference

(1)

Review: Which Statistical Test Is Appropriate?

(1)

Comparisons of Variances from Two Samples

(6)

Key Terms

(1)

Exercises

(6)

Inferences Concerning Multiple Populations: ANOVA

(18)

The Rationale of ANOVA: An Illustration

(2)

The Assumptions of ANOVA

(1)

Fixed-effects ANOVA (Model I)

(6)

Testing the Null Hypothesis That All Treatment Means Are Equal

(1)

Multiple Comparisons

(2)

Fixed-Effects ANOVA Using Survey Data

(1)

One-Way ANOVA Design with Random Effects

(1)

Testing the Assumptions of ANOVA

(2)

Remedies for Failed Assumptions

(7)

Transformations in ANOVA

(1)

Nonparametric Alternative to One-Way ANOVA: The Kruskal-Wallis Test

(1)

Key Terms

(1)

Exercises

(5)

Other ANOVA Designs

101

(12)

The Randomized Block Design

101

(3)

The Factorial Design

104

(3)

The Friedman Test

107

(1)

Other ANOVA Designs

108

(5)

Key Terms

108

(1)

Exercises

108

(5)

Modeling One Measurement Variable against Another: Regression Analysis

113

(16)

Regression versus Correlation

113

(3)

Simple Linear Regression Fundamentals

116

(1)

Estimating the Regression Function and the Regression Line

117

(2)

Calculating the Estimated Regression Equation

119

(1)

Testing the Significance of the Regression Equation

119

(2)

The Confidence Interval for β

121

(1)

The Coefficient of Determination (r2)

121

(1)

Predicting y from x

122

(1)

Dealing with Several Values of y for Each Value of x

123

(1)

Checking Assumptions and Remedies for their Failure

124

(1)

Advanced Regression Techniques

124

(5)

Key Terms

126

(1)

Exercises

126

(3)

Association between Two Measurement Variables: Correlation

129

(8)

The Pearson Correlation Coefficient

129

(2)

Testing the Significance of r

131

(1)

A Correlation Matrix

131

(1)

Nonparametric Correlation Analysis (Spearman's r)

132

(5)

Key Terms

134

(1)

Exercises

134

(3)

Analysis of Frequencies

137

(12)

The Chi-Square Goodness-of-Fit Test

137

(2)

The Chi-Square Test for Association

139

(2)

The Fisher Exact Probability Test

141

(1)

The McNemar Test for the Significance of Changes

142

(2)

Graphic Displays of Frequency Data

144

(5)

Key Terms

144

(1)

Exercises

144

(5)

Choice of Tests and a View of Some Other Procedures

149

(6)

Choice of the Appropriate Statistical Test

149

(1)

Experimental Design

150

(1)

A View of Some Other Statistical Procedures

150

(5)

Key Terms

153

(2)

Appendix A

155

(10)

Appendix B

165

(6)

Appendix C

171

(2)

Index

173

Amazon no longer offers textbook rentals. We do!

Introductory Biological Statistics

Introductory Biological Statistics

9781577663805

1577663802

Summary

Table of Contents

Supplemental Materials

Write a Review

Amazon no longer offers textbook rentals. We do!

Introductory Biological Statistics

Introductory Biological Statistics

9781577663805

1577663802

Summary

Table of Contents

Supplemental Materials

Write a Review

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