Biostatistics For The Biological And Health Sciences, Global 3rd Edition

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data 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 and relevant.

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

1. 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
   3. • 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
   4. DESCRIBING, EXPLORING, AND COMPARING DATA
      • 3-1 Measures of Center
      • 3-2 Measures of Variation
      • 3-3 Measures of Relative Standing and Boxplots
   5. 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
   6. DISCRETE PROBABILITY DISTRIBUTIONS
      • 5-1 Probability Distributions
      • 5-2 Binomial Probability Distributions
      • 5-3 Poisson Probability Distributions
   7. 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)
   8. 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
   9. 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
   10. 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
   11. CORRELATION AND REGRESSION
       • 10-1 Correlation
       • 10-2 Regression
       • 10-3 Prediction Intervals and Variation
       • 10-4 Multiple Regression
       • 10-5 Dummy Variables