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Statistics for the Life Sciences

ISBN: 9780130413161 | 013041316X
Edition: 3rd
Format: Hardcover w/CD
Publisher: Addison Wesley
Pub. Date: 1/1/2003

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SummaryTable of Contents
For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences. 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. The authors' goal is to help students understand concepts not memorize formulas; they make liberal use of... MORE
Prefacevii
Introduction
1(8)
Statistics and the Life Sciences
1(1)
... MOREExamples and Overview
1(8)
Description of Populations and Samples
9(62)
Introduction
9(3)
Frequency Distributions: Techniques for Data
12(9)
Frequency Distributions: Shapes and Examples
21(5)
Descriptive Statistics: Measures of Center
26(6)
Boxplots
32(8)
Measures of Dispersion
40(10)
Effect of Transformation of Variables (Optional)
50(7)
Samples and Populations: Statistical Inference
57(6)
Perspective
63(8)
Random Sampling, Probability, and the Binomial Distribution
71(48)
Probability and the Life Sciences
71(1)
Random Sampling
71(7)
Introduction to Probability
78(5)
Probability Trees
83(5)
Probability Rules (Optional)
88(5)
Density Curves
93(3)
Random Variables
96(6)
The Binomial Distribution
102(10)
Fitting a Binomial Distribution to Data (Optional)
112(7)
The Normal Distribution
119(30)
Introduction
119(3)
The Normal Curves
122(1)
Areas Under a Normal Curve
123(10)
Assessing Normality
133(8)
The Continuity Correction (Optional)
141(4)
Perspective
145(4)
Sampling Distributions
149(30)
Basic Ideas
149(2)
Dichotomous Observations
151(6)
Quantitative Observations
157(10)
Illustration of the Central Limit Theorem (Optional)
167(3)
The Normal Approximation to the Binomial Distribution (Optional)
170(5)
Perspective
175(4)
Confidence Intervals
179(40)
Statistical Estimation
179(1)
Standard Error of the Mean
180(5)
Confidence Interval for μ
185(12)
Planning a Study to Estimate μ
197(2)
Conditions for Validity of Estimation Methods
199(7)
Confidence Interval for a Population Proportion
206(7)
Perspective and Summary
213(6)
Comparison of Two Independent Samples
219(90)
Introduction
219(3)
Standard Error of (y1 -- y2)
222(5)
Confidence Interval for (μ1 -- μ2)
227(7)
Hypothesis Testing: The t test
234(14)
Further Discussion of the t test
248(8)
One-Tailed t Tests
256(10)
More on Interpretation of Statistical Significance
266(7)
Planning for Adequate Power (Optional)
273(7)
Student's t: Conditions and Summary
280(4)
More on Principles of Testing Hypotheses
284(4)
The Wilcoxon-Mann-Whitney Test
288(10)
Perspective
298(11)
Statistical Principles of Design
309(38)
Introduction
309(2)
Observational Studies
311(6)
Experiments
317(9)
Restricted Randomization: Blocking and Stratification
326(8)
Levels of Replication
334(4)
Sampling Concerns (Optional)
338(3)
Perspective
341(6)
Comparison of Paired Samples
347(44)
Introduction
347(1)
The Paired-Sample t test and Confidence Interval
348(10)
The Paired Design
358(6)
The Sign Test
364(8)
The Wilcoxon Signed-Rank Test
372(5)
Further Considerations in Paired Experiments
377(4)
Perspective
381(10)
Analysis of Categorical Data
391(72)
Inference for Proportions: The Chi-Square Goodness-of-Fit Test
391(11)
The Chi-Square Test for the 2 x 2 Contingency Table
402(10)
Indepence and Association in the 2 x 2 Contingency Table
412(10)
Fisher's Exact Test (Optional)
422(6)
The r x k Contingency Table
428(6)
Applicability of Methods
434(5)
Confidence Interval for Difference Between Probabilities
439(2)
Paired Data and 2 x 2 Tables (Optional)
441(3)
Relative Risk and the Odds Ratio (Optional)
444(10)
Summary of Chi-Square Tests
454(9)
Comparing the Means of Many Independent Samples
463(62)
Introduction
463(4)
The Basic Analysis of Variance
467(9)
The Analysis of Variance Model (Optional)
476(2)
The Global F Test
478(6)
Applicability of Methods
484(3)
Two-Way ANOVA (Optional)
487(11)
Linear Combinations of Means (Optional)
498(9)
Multiple Comparisons (Optional)
507(9)
Perspective
516(9)
Linear Regression and Correlation
525(70)
Introduction
525(2)
The Fitted Regression Line
527(14)
Parametric Interpretation of Regression: The Linear Model
541(7)
Statistical Inference Concerning β1
548(5)
The Correlation Coefficient
553(12)
Guidelines for Interpreting Regression and Correlation
565(11)
Perspective
576(10)
Summary of Formulas
586(9)
A Summary of Inference Methods
595(16)
Introduction
595(2)
Data Analysis Examples
597(14)
Chapter Appendices611(22)
Chapter Notes633(36)
Statistical Tables669(32)
Random Digits
670(4)
Binomial Coefficients nCj
674(1)
Areas Under the Normal Curve
675(2)
Critical Values of Student's t Distribution
677(1)
Number of Observations for Independent-Samples t Test
678(2)
Critical Values of U, the Wilcoxon-Mann-Whitney Statistic
680(4)
Critical Values of B for the Sign Test
684(1)
Critical Values of W for the Wilcoxon Signed-rank Test
685(1)
Critical Values of the Chi-Square Distribution
686(1)
Critical Values of the F Distribution
687(10)
Critical Constants for the Newman-Keuls Procedure
697(2)
Bonferroni Multipliers for 95% Confidence Intervals
699(2)
Answers to Selected Exercises701(14)
Index715(8)
Index of Examples723

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