Biostatistics for the Biological and Health Sciences with Statdisk – Mario F. Triola – 1st Edition


Biostatistics for the Biological and Health Sciences is 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 introduction to statistics for students and professors in the biological; life; and health sciences.

This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications; and a variety of pedagogical components to help students succeed in their study of biological statistics.

View more
  • 1 Introduction to Statistics
    1-1 Overview
    1-2 Types of Data
    1-3 Design of Experiments

    2 Describing, Exploring, and Comparing Data
    2-1 Overview
    2-2 Frequency Distributions
    2-3 Visualizing Data
    2-4 Measures of Center
    2-5 Measures of Variation
    2-6 Measures of Relative Standing
    2-7 Exploratory Data Analysis (EDA)

    3 Probability
    3-1 Overview
    3-2 Fundamentals
    3-3 Addition Rule
    3-4 Multiplication Rule: Basics
    3-5 Multiplication Rule: Conditional Probability
    3-6 Relative Risk and Odds Ratio
    3-7 Rates of Mortality, Fertility, and Morbidity
    3-8 Counting Methods

    4 Discrete Probability Distributions
    4-1 Overview
    4-2 Random Variables
    4-3 Binomial Probability Distributions
    4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
    4-5 The Poisson Distribution

    5 Normal Probability Distributions
    5-1 Overview
    5-2 The Standard Normal Distribution
    5-3 Applications of Normal Distributions
    5-4 Sampling Distributions and Estimators
    5-5 The Central Limit Theorem
    5-6 Normal Approximation to Binomial
    5-7 Assessing Normality

    6 Estimates and Sample Sizes with One Sample
    6-1 Overview
    6-2 Estimating a Population Proportion
    6-3 Estimating a Population Mean: s Known
    6-4 Estimating a Population Mean: s Not Known
    6-5 Estimating a Population Variance

    7 Hypothesis Testing with One Sample
    7-1 Overview
    7-2 Basics of Hypothesis Testing
    7-3 Testing a Claim about a Proportion
    7-4 Testing a Claim about a Mean: s Known
    7-5 Testing a Claim about a Mean: s Not Known
    7-6 Testing a Claim about Variation

    8 Inferences from Two Samples
    8-1 Overview
    8-2 Two Proportions
    8-3 Two Means: Independent Samples
    8-4 Two Means: Matched Pairs
    8-5 Odds Ratios
    8-6 Variation in Two Samples

    9 Correlation and Regression
    9-1 Overview
    9-2 Correlation
    9-3 Regression
    9-4 Variation and Prediction Intervals
    9-5 Multiple Regression

    10 Multinomial Experiments and Contingency Tables
    10-1 Overview
    10-2 Multinomial Experiments: Goodness-0f-Fit
    10-3 Contingency Tables: Independence and Homogeneity
    10-4 McNemar’s Test for Matched Pairs

    11 Analysis of Variance
    11-1 Overview
    11-2 One-Way ANOVA
    11-3 Two-Way ANOVA

    12 Nonparametric Statistics
    12-1 Overview
    12-2 Sign Test
    12-3 Wilcoxon Signed-Ranks Test for Matched Pairs
    12-4 Wilcoxon Rank-Sum Test for Two Independent Samples
    12-5 Kruskal-Wallis Test
    12-6 Rank Correlation

    13 Life Tables
    13-1 Overview
    13-2 Elements of a Life Table
    13-3 Applications of Life Tables

    Appendix A: Tables
    Appendix B: Data Sets
    Appendix C: Answers to Odd-Numbered Exercises

  • Citation

Leave us a comment

No Comments

Notify of
Inline Feedbacks
View all comments
Would love your thoughts, please comment.x