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Biostatistics for the Biological and Health Sciences with Statdisk

ISBN: 9780321194367 | 0321194365
Edition: 1st
Format: Hardcover
Publisher: Pearson
Pub. Date: 10/25/2005

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SummaryTable of Contents
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community college. Marc M. Triola is Chief of the Section of Medical Informatics and Director of Research for the Advanced Educational Systems laboratory, both at NYU School of Medicine.

Biostatistics for the Biological and Health Sciencesis 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 intr... MORE
Introduction
2(24)
Overview
4(1)
Types of Data
4... MORE
Design of Experiments
10(14)
Describing, Exploring, and Comparing Data
24(66)
Overview
26(1)
Frequency Distributions
27(6)
Visualizing Data
33(9)
Measures of Center
42(11)
Measures of Variation
53(16)
Measures of Relative Standing
69(7)
Exploratory Data Analysis (EDA)
76(14)
Probability
90(66)
Overview
92(1)
Fundamentals
92(9)
Addition Rule
101(8)
Multiplication Rule: Basics
109(9)
Multiplication Rule: Beyond the Basics
118(9)
Risks and Odds
127(9)
Rates of Mortality, Fertility, and Morbidity
136(5)
Counting
141(15)
Discrete Probability Distributions
156(34)
Overview
158(1)
Random Variables
159(9)
Binomial Probability Distributions
168(10)
Mean, Variance, and Standard Deviation for the Binomial Distribution
178(4)
The Poisson Distribution
182(8)
Normal Probability Distributions
190(64)
Overview
192(1)
The Standard Normal Distribution
193(11)
Applications of Normal Distributions
204(8)
Sampling Distributions and Estimators
212(9)
The Central Limit Theorem
221(10)
Normal as Approximation to Binomial
231(10)
Assessing Normality
241(13)
Estimates and Sample Sizes with One Sample
254(60)
Overview
256(1)
Estimating a Population Proportion
256(17)
Estimating a Population Mean: σ Known
273(11)
Estimating a Population Mean: σ Not Known
284(13)
Estimating a Population Variance
297(17)
Hypothesis Testing with One Sample
314(62)
Overview
316(1)
Basics of Hypothesis Testing
317(20)
Testing a Claim About a Proportion
337(11)
Testing a Claim About a Mean: σ Known
348(5)
Testing a Claim About a Mean: σ Not Known
353(11)
Testing a Claim About a Standard Deviation or Variance
364(12)
Inferences from Two Samples
376(48)
Overview
378(1)
Inferences About Two Proportions
378(11)
Inferences About Two Means: Independent Samples
389(11)
Inferences from Matched Pairs
400(8)
Odds Ratios
408(6)
Comparing Variation in Two Samples
414(10)
Correlation and Regression
424(64)
Overview
428(1)
Correlation
428(21)
Regression
449(15)
Variation and Prediction Intervals
464(8)
Multiple Regression
472(16)
Multinomial Experiments and Contingency Tables
488(42)
Overview
490(1)
Multinomial Experiments: Goodness-of-Fit
491(13)
Contingency Tables: Independence and Homogeneity
504(15)
McNemar's Test for Matched Pairs
519(11)
Analysis of Variance
530(36)
Overview
532(2)
One-Way ANOVA
534(16)
Two-Way ANOVA
550(16)
Nonparametric Statistics
566(44)
Overview
568(2)
Sign Test
570(10)
Wilcoxon Signed-Ranks Test for Matched Pairs
580(5)
Wilcoxon Rank-Sum Test for Two Independent Samples
585(6)
Kruskal-Wallis Test
591(6)
Rank Correlation
597(13)
Life Tables
610(18)
Overview
612(1)
Elements of a Life Table
612(8)
Applications of Life Tables
620(8)
Appendix A: Tables628(17)
Appendix B: Data Sets645(15)
Appendix C: Answers to Odd-Numbered Exercises660(27)
Credits687(2)
Index689

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