Triola M.M., Triola M.F., Roy J. Biostatistics for the Biological and Health Sciences

2nd edition. — New York: Pearson, 2017. — 729 p.For courses in Introductory Statistics
Real-world applications connect statistical concepts to everyday life.
Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition ensures that you understand concepts and develop skills in critical thinking, technology, and communication. The result of collaboration between a biological sciences expert and the author of the #1 statistics book in the country, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for readers interested in the biological, life, medical, and health sciences.
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Dedication
Copyright Page
About the AuthorsIntroduction to Statistics
Statistical and Critical Thinking
Types of Data
Collecting Sample Data
Exploring Data with Tables and Graphs
Frequency Distributions for Organizing and Summarizing Data
Histograms
Graphs That Enlighten and Graphs That Deceive
Scatterplots, Correlation, and Regression
Describing, Exploring, and Comparing Data
Measures of Center
Measures of Variation
Measures of Relative Standing and Boxplots
Probability
Basic Concepts of Probability
Addition Rule and Multiplication Rule
Complements, Conditional Probability, and Bayes’ Theorem
Risks and Odds
Rates of Mortality, Fertility, and Morbidity
Counting
Discrete Probability Distributions
Probability Distributions
Binomial Probability Distributions
Poisson Probability Distributions
Normal Probability Distributions
The Standard Normal Distribution
Real Applications of Normal Distributions
Sampling Distributions and Estimators
The Central Limit Theorem
Assessing Normality
Normal as Approximation to Binomial
Estimating Parameters and Determining Sample Sizes
Estimating a Population Proportion
Estimating a Population Mean
Estimating a Population Standard Deviation or Variance
Bootstrapping: Using Technology for Estimates
Hypothesis Testing
Basics of Hypothesis Testing
Testing a Claim About a Proportion
Testing a Claim About a Mean
Testing a Claim About a Standard Deviation or Variance
Inferences from Two Samples
Two Proportions
Two Means: Independent Samples
Two Dependent Samples (Matched Pairs)
Two Variances or Standard Deviations
Correlation and Regression
Correlation
Regression
Prediction Intervals and Variation
Multiple Regression
Dummy Variables and Logistic Regression
GoodnessofFit and Contingency Tables
GoodnessofFit
Contingency Tables
Analysis of Variance
OneWay ANOVA
TwoWay ANOVA
Nonparametric Tests
Basics of Nonparametric Tests
Sign Test
Wilcoxon SignedRanks Test for Matched Pairs
Wilcoxon RankSum Test for Two Independent Samples
KruskalWallis Test for Three or More Samples
Rank Correlation
Survival Analysis
Life Tables
KaplanMeier Survival Analysis
Tables
Data Sets
Websites and Bibliography of Books
Answers to OddNumbered Section Exercises, plus Answers to All Chapter Quick Quizzes, Chapter Review Exercises, and Cumulative Review Exercises
CreditsBack Cover