- Contents
- Preface
- Describing Data Graphically
- Introduction
- Data Types and Collection
- Descriptive Statistics
- Frequency Distributions
- Graphical Presentation
- Summation Notation
- Methods of Counting
- Organizing And Summarizing Quantitative Data
- Introduction
- Numerical Methods for Summarizing Quantitative Data
- Some Properties of the Numerical Measures of Quantitative Data
- Measures of Position for Quantitative Data
- Description of Grouped Data
- Probability
- Introduction
- Probability Axioms
- Operations and Probability calculation on Events
- Bayes Formula and Total Probability
- Discrete Probability Distributions
- Introduction
- The Expectation and Variance of a Random Variable
- Discrete Probability Distributions
- More Discrete Random Variables
- Bivariate Random Variables
- Continuous Probability Distributions
- Introduction
- Continuous Probability Distributions
- Normal Approximation to Discrete Distributions
- More Continuous Distributions
- Bivariate Random Variables (Optional)
- Sampling Distributions
- Introduction
- Sampling Distribution of the Sample Mean
- Central Limit Theorem
- Distribution of the Sample proportion
- Sampling Distribution of the Sample Variance
- Simple Linear Regression and Correlation
- Introduction
- Regression Models
- Fitting a straight line (First order Model)
- Correlation
- Appendix A
- Tables
- Appendix B
- Answers to Selected Exercises
- Appendix C
- Formulas
- Appendix D
- References
Content
Description
The Medical Field, as other fields, is full of data of all types. The Basics for Biostatistics is written to introduce to the medical reader, the tools and procedures for analyzing the collected data, randomly or by experimentation. The Manuscript introduces the Concepts, Definitions, and Terminology of Statistics, in an easy presentation to read and use efficiently. With that many software tools and programs, as well as calculators, the minimum mathematical background barely surpass college algebra. The Basics for Biostatistics should prepare the reader to make a good decision based on data.