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Biostatistics for the Biological and Health Sciences cover

Biostatistics for the Biological and Health Sciences

by Marc M. Triola, Mario F. Triola, Jason Roy

3rd Edition

Publisher: Pearson

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Biostatistics

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Book Details

Print ISBN9780137864102
eText ISBN9780137864041
PublisherPearson
Publishing Year2024
Edition3rd Edition
LanguageEnglish

Biostatistics for the Biological and Health Sciences, 3rd Edition, authored by Marc M. Triola, Mario F. Triola, and Jason Roy, presents fundamental statistical methods tailored specifically for life and health science disciplines. Developed for college students and academic educators, this textbook establishes essential quantitative skills needed to interpret and analyze empirical research data.

The material develops core statistical concepts through structured thematic units. Introductory chapters focus on exploratory data analysis using summary tables, graphical displays, and descriptive measurements. The narrative then advances to probability concepts, examining discrete probability distributions alongside normal probability distributions to establish theoretical foundations for statistical inference.

Extending into analytical application, the text addresses methods for estimating population parameters, determining sample sizes, and performing hypothesis tests. Available from Pearson with a reflowable layout digital option, the book provides targeted instructional support for undergraduate courses in biological and health sciences.

Table of Contents

  1. Chapter 1: Introduction to Statistics

    • • 1-1 Statistical and Critical Thinking
    • • 1-2 Types of Data
    • • 1-3 Collecting Sample Data
    • • 1-4 Ethics in Statistics (download only)
  2. Chapter 2: Exploring Data with Tables and Graphs

    • • 2-1 Frequency Distributions for Organizing and Summarizing Data
    • • 2-2 Histograms
    • • 2-3 Graphs That Enlighten and Graphs That Deceive
    • • 2-4 Scatterplots, Correlation, and Regression
  3. Chapter 3: Describing, Exploring, and Comparing Data

    • • 3-1 Measures of Center
    • • 3-2 Measures of Variation
    • • 3-3 Measures of Relative Standing and Boxplots
  4. Chapter 4: Probability

    • • 4-1 Basic Concepts of Probability
    • • 4-2 Addition Rule and Multiplication Rule
    • • 4-3 Complements, Conditional Probability, and Bayes' Theorem
    • • 4-4 Risks and Odds
    • • 4-5 Rates of Mortality, Fertility, and Morbidity
    • • 4-6 Counting
  5. Chapter 5: Discrete Probability Distributions

    • • 5-1 Probability Distributions
    • • 5-2 Binomial Probability Distributions
    • • 5-3 Poisson Probability Distributions
  6. Chapter 6: Normal Probability Distributions

    • • 6-1 The Standard Normal Distribution
    • • 6-2 Real Applications of Normal Distributions
    • • 6-3 Sampling Distributions and Estimators
    • • 6-4 The Central Limit Theorem
    • • 6-5 Assessing Normality
    • • 6-6 Normal as Approximation to Binomial (download only)
  7. Chapter 7: Estimating Parameters and Determining Sample Sizes

    • • 7-1 Estimating a Population Proportion
    • • 7-2 Estimating a Population Mean
    • • 7-3 Estimating a Population Standard Deviation or Variance
    • • 7-4 Bootstrapping: Using Technology for Estimates
  8. Chapter 8: Hypothesis Testing

    • • 8-1 Basics of Hypothesis Testing
    • • 8-2 Testing a Claim About a Proportion
    • • 8-3 Testing a Claim About a Mean
    • • 8-4 Testing a Claim About a Standard Deviation or Variance
    • • 8-5 Resampling: Using Technology for Hypothesis Testing
  9. Chapter 9: Inferences from Two Samples

    • • 9-1 Two Proportions
    • • 9-2 Two Means: Independent Samples
    • • 9-3 Matched Pairs
    • • 9-4 Two Variances or Standard Deviations
    • • 9-5 Resampling: Using Technology for Inferences
  10. Chapter 10: Correlation and Regression

    • • 10-1 Correlation
    • • 10-2 Regression
    • • 10-3 Prediction Intervals and Variation
    • • 10-4 Multiple Regression
    • • 10-5 Dummy Variables and Logistic Regression
  11. Chapter 11: Goodness-of-Fit and Contingency Tables

    • • 11-1 Goodness-of-Fit
    • • 11-2 Contingency Tables
  12. Chapter 12: Analysis of Variance

    • • 12-1 One-Way ANOVA
    • • 12-2 Two-Way ANOVA
  13. Chapter 13: Nonparametric Tests

    • • 13-1 Basics of Nonparametric Tests
    • • 13-2 Sign Test
    • • 13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
    • • 13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
    • • 13-5 Kruskal-Wallis Test for Three or More Samples
    • • 13-6 Rank Correlation
  14. Chapter 14: Survival Analysis

    • • 14-1 Life Tables
    • • 14-2 Kaplan-Meier Survival Analysis

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Reviewed by GradeFocus Editorial Team

▶Research Sources (10)
  • Biostatistics for the Biological and Health Sciences 3rd
  • Biostatistics for the Biological and Health Sciences
  • Biostatistics for the Biological and Health Sciences
  • Chapman & Hall/CRC Biostatistics Series - Book Series
  • Biostatistics: A Foundation for Analysis in the Health Sciences
  • Biostatistics For The Biological And Health Sciences 3rd Edition By Marc ...
  • Biostatistics for the biological and health sciences
  • Biostatistics for the Biological and Health Sciences
  • Biostatistics for Health Sciences, 2nd Ed. | PDF
  • Biostatistics for the Biological and Health Sciences, 3rd Edition by ...

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