This conceptually-based introduction to statistical procedures prepares readers to conduct and evaluate research
in the biological and public health sciences. Through an engaging writing style and helpful graphics, Pagano and
Gauvreau illustrate that statistics is more than just 'math'--it's a viable field that has hundreds of applications
and uses in the real world. The authors rely heavily on the book's graphics and the use of computers to help readers
make the calculations, giving them more time to concentrate on and learn the concepts.
Table of Contents
1. INTRODUCTION.
Review Exercises.
Bibliography.
2. DATA PRESENTATION.
Types of Numerical Data.
Tables.
Graphs.
Further Applications.
Review Exercises.
Bibliography.
3. NUMERICAL SUMMARY MEASURES.
Measures of Central Tendency.
Measures of Dispersion.
Grouped Data.
Chebychev's Inequality.
Further Applications.
Review Exercises.
Bibliography.
4. RATES AND STANDARDIZATION.
Rates.
Standardization of Rates.
Further Applications.
Review Exercises.
Bibliography.
5. LIFE TABLES.
Computation of the Life Table.
Applications of the Life Table.
Years of Potential Life Lost.
Further Applications.
Review Exercises.
Bibliography.
6. PROBABILITY.
Operations on Events and Probability.
Conditional Probability.
Bayes' Theorem.
Diagnostic Tests.
The Relative Risk and the Odds Ratio.
Further Applications.
Review Exercises.
Bibliography.
7. THEORETICAL PROBABILITY DISTRIBUTIONS.
Probability Distributions.
The Binomial Distribution.
The Poisson Distribution.
The Normal Distribution.
Further Applications.
Review Exercises.
Bibliography.
8. SAMPLING DISTRIBUTION OF THE MEAN.
Sampling Distributions.
The Central Limit Theorem.
Applications on the Central Limit Theorem.
Further Applications.
Review Exercises.
Bibliography.
9. CONFIDENCE INTERVALS.
Two-Sided Confidence Intervals.
One-Sided Confidence Intervals.
Student's t Distribution.
Further Applications.
Review Exercises.
Bibliography.
10. HYPOTHESIS TESTING.
General Concepts.
Two-Sided Tests of Hypotheses.
One-Sided Tests of Hypotheses.
Types of Error.
Power.
Sample Size Estimation.
Further Applications.
Review Exercises.
Bibliography.
11. COMPARISON OF TWO MEANS.
Paired Samples.
Independent Samples.
Further Applications.
Review Exercises.
Bibliography.
12. ANALYSIS OF VARIANCE.
One-Way Analysis of Variance.
Multiple Comparisons Procedures.
Further Applications.
Review Exercises.
Bibliography.
13. NONPARAMETRIC METHODS.
The Sign Test.
The Wilcoxon Signed-Rank Test.
The Wilcoxon Rank Sum Test.
Advantages and Disadvantages of Nonparametric Methods.
Further Applications.
Review Exercises.
Bibliography.
14. INFERENCE ON PROPORTIONS.
Normal Approximation to the Binomial Distribution.
Sampling Distribution of a Proportion.
Confidence Intervals.
Hypothesis Testing.
Sample Size Estimation.
Comparison of Two Proportions.
Further Applications.
Review Exercises.
Bibliography.
15. CONTINGENCY TABLES.
The Chi-Square Test.
McNemar's Test.
The Odds Ratio.
Berkson's Fallacy.
Further Applications.
Review Exercises.
Bibliography.
16. MULTIPLE 2X2 TABLES.
Simpson's Paradox.
The Mantel-Haenszel Method.
Further Applications.
Review Exercises.
Bibliography.
17. CORRELATION.
The Two-Way Scatter Plot.
Pearson's Correlation Coefficient.
Spearman's Rank Correlation Coefficient.
Further Applications.
Review Exercises.
Bibliography.
18. SIMPLE LINEAR REGRESSION.
Regression Concepts.
The Model.
Evaluation of the Model.
Further Applications.
Review Exercises.
Bibliography.
19. MULTIPLE REGRESSION.
The Model.
Model Selection.
Further Applications.
Review Exercises.
Bibliography.
20. LOGISTIC REGRESSION.
The Model.
Multiple Logistic Regression.
Indicator Variables.
Further Applications.
Review Exercises.
Bibliography.
21. SURVIVAL ANALYSIS.
Life Table Method.
Product-Limit Method.
The Log-Rank Test.
Further Applications.
Review Exercises.
Bibliography.
22. SAMPLING THEORY.
Sampling Schemes.
Sources of Bias.
Further Applications.
Review Exercises.
Bibliography.
APPENDIX A: TABLES.
APPENDIX B: DATA SETS.
APPENDIX C: SOLUTIONS TO SELECTED EXERCISES.
