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Statistics is a class that is required in many college majors, and it's an increasingly popular Advanced Placement high school course. In addition to math and technical students, many business and liberal arts students are required to take it as a fundamental component of their majors. A knowledge of statistical interpretation is vital for many careers. Idiot's Guides: Statistics explains the fundamental tenets in language anyone can understand. Content includes:
- Calculating descriptive statistics
- Measures of central tendency: mean, median, and mode
- Probability
- Variance analysis
- Inferential statistics
- Hypothesis testing
- Organizing data into statistical charts and tables

1. Cover
2. Title Page
4. Foreword
5. Introduction
6. Part 1: The Basics
1. 1 Let’s Get Started
1. What Is Statistics and Why Do You Need It?
2. Types of Statistics
3. Population vs. Sample
4. Parameter vs. Statistic
5. Ethics and Statistics–It’s a Dangerous World Out There
6. Practice Problems
2. 2 Data, Data Everywhere and Not a Drop to Drink
1. The Importance of Data
2. The Sources of Data–Where Does All This Stuff Come From?
3. Data and Types of Variables
4. Types of Measurement Scales–a Weighty Topic
5. Computers to the Rescue
6. Practice Problems
3. 3 Displaying Descriptive Statistics
1. Frequency Distributions
2. Charting Your Course: Graphs
3. The Stem and Leaf Display–Statistical Flower Power
4. Practice Problems
4. 4 Calculating Descriptive Statistics: Measures of Central Tendency (Mean, Median, and Mode)
1. Measures of Central Tendency
2. Using Excel to Calculate Central Tendency
3. Practice Problems
5. 5 Calculating Descriptive Statistics: Measures of Dispersion
1. Measures of Dispersion for Ungrouped Data
2. Measures of Dispersion for Grouped Data
3. Measures of Relative Position
4. Excel to the Rescue
5. Practice Problems
7. Part 2: Probability Topics
1. 6 Introduction to Probability
1. What is Probability?
2. Relationship Between Events
3. Union and Intersection of Events
4. Practice Problems
2. 7 Probability and Counting Rules
1. Addition Rule of Probabilities
2. Conditional Probability
3. Multiplication Rule of Probabilities
4. Bayes’ Theorem
5. Counting Principles
6. Practice Problems
3. 8 Probability Distributions
1. Basic Concepts of Probability Distributions
2. The Mean of Discrete Probability Distributions
3. The Variance and Standard Deviation of Discrete Probability Distributions
4. Practice Problems
4. 9 The Binomial Probability Distribution
5. 10 The Poisson Probability Distribution
6. 11 The Normal Probability Distribution
1. Characteristics of the Normal Probability Distribution
2. Calculating Probabilities for the Normal Distribution
3. Using the Normal Distribution as an Approximation to the Binomial Distribution
4. Practice Problems
8. Part 3: Inferential Statistics
1. 12 Sampling
1. Why Sample?
2. Random Sampling
3. Sampling Error and Sampling Bias
4. Examples of Poor Sampling Techniques
5. Practice Problems
2. 13 Sampling Distributions
3. 14 Confidence Intervals
1. The Basics of Confidence Intervals
2. Confidence Intervals for the Population Mean
3. When the Population Standard Deviation Is Unknown and with Small Samples
4. Confidence Intervals for the Population Proportion with Large Samples
5. Practice Problems
4. 15 Hypothesis Testing with One Population
1. Hypothesis Testing: The Traditional Method
2. One-Tail vs. Two-Tail Tests
3. Hypothesis Testing for the Population Mean
4. The Role of Alpha in Hypothesis Testing
5. The p-Value Method
6. Using Excel for Hypothesis Testing
7. Hypothesis Testing for the Population Proportion with Large Samples
8. Practice Problems
5. 16 Hypothesis Testing with Two Populations
1. The Concept of Testing Two Populations
2. Sampling Distribution for the Difference in Means
3. Testing for the Differences Between Two Population Means with Independent Samples
4. Testing for Differences Between Means with Dependent Samples
5. Letting Excel Do the Grunt Work
6. Testing for Differences Between Proportions with Independent Samples
7. Practice Problems
9. Appendixes
10. About the Author