Essentials of Statistics, Edition 2
Copyright 2005, ISBN: 0-201-77129-2
Mario F. Triola
Pearson Education, Inc.

---

Chapter 1.	Introduction to Statistics
	1. Overview
	2. Types of Data
	3. Critical Thinking
	4. Design of Experiments

Chapter 2.	Describing, Exploring, and Comparing Data
	1. Overview
	2. Frequency Distributions
	3. Visualizing Data
	4. Measures of Center
	5. Measures of Variation
	6. Measures of Relative Standing
	7. Exploratory Data Analysis (EDA)

Chapter 3.	Probability
	1. Overview
	2. Fundamentals
	3. Addition Rule
	4. Multiplication Rule: Basics
	5. Multiplication Rule: Complements and Conditional Probability
	6. Counting

Chapter 4.	Probability Distributions
	1. Overview
	2. Random Variables
	3. Binomial Probability Distributions
	4. Mean, Variance, and Standard Deviation for the Binomial Distribution

Chapter 5.	Normal Probability Distributions
	1. Overview
	2. The Standard Normal Distribution
	3. Applications of Normal Distributions
	4. Sampling Distributions and Estimators
	5. The Central Limit Theorem
	6. Normal Distribution as Approximation to Binomial Distribution

Chapter 6.	Estimates and Sample Sizes
	1. Overview
	2. Estimating a Population Proportion
	3. Estimating a Population Mean: sigma Known
	4. Estimating a Population Mean: sigma Not Known
	5. Estimating a Population Variance

Chapter 7.	Hypothesis Testing
	1. Overview
	2. Basics of Hypothesis Testing
	3. Testing a Claim about a Proportion
	4. Testing a Claim about a Mean: sigma Known
	5. Testing a Claim about a Mean: sigma Not Known
	6. Testing a Claim about a Standard Deviation or Variance

Chapter 8.	Inferences from Two Samples
	1. Overview
	2. Inferences about Two Proportions
	3. Inferences about Two Means: Independent Samples
	4. Inferences from Matched Pairs

Chapter 9.	Correlation and Regression
	1. Overview
	2. Correlation
	3. Regression
	4. Variation and Prediction Intervals
	5. Rank Correlation

Chapter 10.	Chi-Square and Analysis of Variance
	1. Overview
	2. Multinomial Experiments: Goodness-0f-Fit
	3. Contingency Tables: Independence and Homogeneity
	4. Analysis of Variance

Chapter R.	Reviews
	1. Review for Final Exam