Statistics for the Life Sciences

ISBN-10: 013041316X
ISBN-13: 9780130413161
Edition: 3rd 2003 (Revised)
List price: $142.67
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Description: With a strong emphasis on real data, exploratory data analysis, interpretation of results and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern  More...

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Book details

List price: $142.67
Edition: 3rd
Copyright year: 2003
Publisher: Prentice Hall PTR
Publication date: 12/3/2002
Binding: Mixed Media
Pages: 736
Size: 8.25" wide x 10.00" long x 1.25" tall
Weight: 3.652
Language: English

With a strong emphasis on real data, exploratory data analysis, interpretation of results and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern data analysis.

Preface
Introduction
Statistics and the Life Sciences
Examples and Overview
Description of Populations and Samples
Introduction
Frequency Distributions: Techniques for Data
Frequency Distributions: Shapes and Examples
Descriptive Statistics: Measures of Center
Boxplots
Measures of Dispersion
Effect of Transformation of Variables (Optional)
Samples and Populations: Statistical Inference
Perspective
Random Sampling, Probability, and the Binomial Distribution
Probability and the Life Sciences
Random Sampling
Introduction to Probability
Probability Trees
Probability Rules (Optional)
Density Curves
Random Variables
The Binomial Distribution
Fitting a Binomial Distribution to Data (Optional)
The Normal Distribution
Introduction
The Normal Curves
Areas Under a Normal Curve
Assessing Normality
The Continuity Correction (Optional)
Perspective
Sampling Distributions
Basic Ideas
Dichotomous Observations
Quantitative Observations
Illustration of the Central Limit Theorem (Optional)
The Normal Approximation to the Binomial Distribution (Optional)
Perspective
Confidence Intervals
Statistical Estimation
Standard Error of the Mean
Confidence Interval for [mu]
Planning a Study to Estimate [mu]
Conditions for Validity of Estimation Methods
Confidence Interval for a Population Proportion
Perspective and Summary
Comparison of Two Independent Samples
Introduction
Standard Error of (y[subscript 1] - y[subscript 2])
Confidence Interval for ([mu subscript 1] - [mu subscript 2])
Hypothesis Testing: The t test
Further Discussion of the t test
One-Tailed t Tests
More on Interpretation of Statistical Significance
Planning for Adequate Power (Optional)
Student's t: Conditions and Summary
More on Principles of Testing Hypotheses
The Wilcoxon-Mann-Whitney Test
Perspective
Statistical Principles of Design
Introduction
Observational Studies
Experiments
Restricted Randomization: Blocking and Stratification
Levels of Replication
Sampling Concerns (Optional)
Perspective
Comparison of Paired Samples
Introduction
The Paired-Sample t test and Confidence Interval
The Paired Design
The Sign Test
The Wilcoxon Signed-Rank Test
Further Considerations in Paired Experiments
Perspective
Analysis of Categorical Data
Inference for Proportions: The Chi-Square Goodness-of-Fit Test
The Chi-Square Test for the 2 X 2 Contingency Table
Indepence and Association in the 2 X 2 Contingency Table
Fisher's Exact Test (Optional)
The r X k Contingency Table
Applicability of Methods
Confidence Interval for Difference Between Probabilities
Paired Data and 2 X 2 Tables (Optional)
Relative Risk and the Odds Ratio (Optional)
Summary of Chi-Square Tests
Comparing the Means of Many Independent Samples
Introduction
The Basic Analysis of Variance
The Analysis of Variance Model (Optional)
The Global F Test
Applicability of Methods
Two-Way ANOVA (Optional)
Linear Combinations of Means (Optional)
Multiple Comparisons (Optional)
Perspective
Linear Regression and Correlation
Introduction
The Fitted Regression Line
Parametric Interpretation of Regression: The Linear Model
Statistical Inference Concerning [beta subscript 1]
The Correlation Coefficient
Guidelines for Interpreting Regression and Correlation
Perspective
Summary of Formulas
A Summary of Inference Methods
Introduction
Data Analysis Examples
Chapter Appendices
Chapter Notes
Statistical Tables
Random Digits
Binomial Coefficients [subscript n]C[subscript j]
Areas Under the Normal Curve
Critical Values of Student's t Distribution
Number of Observations for Independent-Samples t Test
Critical Values of U, the Wilcoxon-Mann-Whitney Statistic
Critical Values of B for the Sign Test
Critical Values of W for the Wilcoxon Signed-rank Test
Critical Values of the Chi-Square Distribution
Critical Values of the F Distribution
Critical Constants for the Newman-Keuls Procedure
Bonferroni Multipliers for 95% Confidence Intervals
Answers to Selected Exercises
Index
Index of Examples

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