# EBook:Print versions

### From Socr

*Note: current version of this book can be found at http://wiki.stat.ucla.edu/socr/index.php/EBook*

# Table of contents

## Preface

## Chapter I: Introduction to Statistics

- The Nature of Data and Variation
- Uses and Abuses of Statistics
- Design of Experiments
- Statistics with Tools (Calculators and Computers)

## Chapter II: Describing, Exploring, and Comparing Data

- Types of Data
- Summarizing Data with Frequency Tables
- Pictures of Data
- Measures of Central Tendency
- Measures of Variation
- Measures of Shape
- Statistics
- Graphs and Exploratory Data Analysis

## Chapter III: Probability

## Chapter IV: Probability Distributions

- Random Variables
- Expectation (Mean) and Variance
- Bernoulli and Binomial Experiments
- Multinomial Experiments
- [[ Geometric, Hypergeometric and Negative Binomial
- Poisson Distribution

## Chapter V: Normal Probability Distribution

- The Standard Normal Distribution
- Nonstandard Normal Distribution: Finding Probabilities
- Nonstandard Normal Distribution: Finding Scores (Critical Values)

## Chapter VI: Relations Between Distributions

- The Central Limit Theorem
- Law of Large Numbers
- Normal Distribution as Approximation to Binomial Distribution
- Poisson Approximation to Binomial Distribution
- Binomial Approximation to HyperGeometric
- Normal Approximation to Poisson

## Chapter VII: Point and Interval Estimates

- Estimating a Population Mean: Large Samples
- Estimating a Population Mean: Small Samples
- Student's T distribution
- Estimating a Population Proportion
- Estimating a Population Variance

## Chapter VIII: Hypothesis Testing

- Fundamentals of Hypothesis Testing
- Testing a Claim about a Mean: Large Samples
- Testing a Claim about a Mean: Small Samples
- Testing a Claim about a Proportion
- Testing a Claim about a Standard Deviation or Variance

## Chapter IX: Inferences From Two Samples

- Inferences About Two Means: Dependent Samples
- Inferences About Two Means: Independent Samples
- Comparing Two Variances
- Inferences about Two Proportions

## Chapter X: Correlation and Regression

## Chapter XI: Analysis of Variance (ANOVA)

## Chapter XII: Non-Parametric Inference

- Differences of Medians (Centers) of Two Paired Samples
- Differences of Medians (Centers) of Two Independent Samples
- Differences of Proportions of Two Samples
- Differences of Means of Several Independent Samples
- Differences of Variances of Two Independent Samples