From the eBook - Second edition.
1.1.1 Motivation for the Study
1.1.4 A Summary of the Various Phases of the Investigation
1.3 An Observational Study
1.4 A Set of Historical Data
1.5 A Brief Description of What is Covered in this Book
Chapter 2 Describing Data Graphically and Numerically
2.1 Getting Started with Statistics
2.1.1 What Is Statistics?
2.1.2 Population and Sample in a Statistical Study
2.2 Classification of Various Types of Data
2.3 Frequency Distribution Tables for Qualitative and Quantitative Data
2.4 Graphical Description of Qualitative and Quantitative Data
2.5 Numerical Measures of Quantitative Data
2.5.1 Measures of Centrality
2.5.2 Measures of Dispersion
2.6 Numerical Measures of Grouped Data
2.6.1 Mean of a Grouped Data
2.6.2 Median of a Grouped Data
2.6.3 Mode of a Grouped Data
2.6.4 Variance of a Grouped Data
2.7 Measures of Relative Position
2.7.3 Interquartile Range (IQR)
2.7.4 Coefficient of Variation
2.8.1 Construction of a Box Plot
2.8.2 How to Use the Box Plot
2.9 Measures of Association
2.10.1 About St. Luke's Hospital
2.11 Review Practice Problems
Chapter 3 Elements of Probability
3.2 Random Experiments, Sample Spaces, and Events
3.2.1 Random Experiments and Sample Spaces
3.3 Concepts of Probability
3.4 Techniques of Counting Sample Points
3.4.4 Arrangements of n Objects Involving Several Kinds of Objects
3.5 Conditional Probability
3.7 Introducing Random Variables
3.7 Review Practice Problems
Chapter 4 Discrete Random Variables and Some Important Discrete Probability Distributions
4.1 Graphical Descriptions of Discrete Distributions
4.2 Mean and Variance of a Discrete Random Variable
4.2.1 Expected Value of Discrete Random Variables and Their Functions
4.2.2 The Moment-Generating Function-Expected Value of a Special Function of X
4.3 The Discrete Uniform Distribution
4.4 The Hypergeometric Distribution
4.5 The Bernoulli Distribution
4.6 The Binomial Distribution
4.7 The Multinomial Distribution
4.8 The Poisson Distribution
4.8.1 Definition and Properties of the Poisson Distribution
4.8.3 Poisson Distribution as a Limiting Form of the Binomial
