Biostatistics for the Biological and Health Sciences, 3rd edition

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

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Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, a broad range of examples, emphasis on real data and a friendly writing style. It is designed to suit a wide variety of students in their first statistics course, uses minimal algebra and will help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable, interesting and relevant.

The 3rd Edition incorporates the latest and best methods used by professional statisticians. It provides an abundance of new and interesting data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics); and it includes features that address all of the recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

ISBN-13: 9780137863792

Subject: Advanced Statistics

Category: Biostatistics

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. 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. Describing, Exploring, and Comparing Data

3-1 Measures of Center
3-2 Measures of Variation
3-3 Measures of Relative Standing and Boxplots

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. Discrete Probability Distributions

5-1 Probability Distributions
5-2 Binomial Probability Distributions
5-3 Poisson Probability Distributions

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. 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. 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. 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. 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. Goodness-of-Fit and Contingency Tables

11-1 Goodness-of-Fit
11-2 Contingency Tables

12. Analysis of Variance

12-1 One-Way ANOVA
12-2 Two-Way ANOVA

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. Survival Analysis

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