- Cover
- Title Page
- Copyright Page
- Foreword
- Introduction
- Part 1: The Basics
- 1 Let’s Get Started
- 2 Data, Data Everywhere and Not a Drop to Drink
- 3 Displaying Descriptive Statistics
- 4 Calculating Descriptive Statistics: Measures of Central Tendency (Mean, Median, and Mode)
- 5 Calculating Descriptive Statistics: Measures of Dispersion
- Part 2: Probability Topics
- 6 Introduction to Probability
- 7 Probability and Counting Rules
- 8 Probability Distributions
- 9 The Binomial Probability Distribution
- 10 The Poisson Probability Distribution
- 11 The Normal Probability Distribution
- Part 3: Inferential Statistics
- 12 Sampling
- 13 Sampling Distributions
- What Is a Sampling Distribution?
- Sampling Distribution of the Sample Means
- Mean of the Sampling Distribution of the Sample Means
- Standard Error of the Sampling Distribution of the Sample Means
- The Central Limit Theorem
- Putting the Central Limit Theorem to Work
- Sampling Distribution of the Proportion
- Practice Problems
- 14 Confidence Intervals
- 15 Hypothesis Testing with One Population
- 16 Hypothesis Testing with Two Populations
- The Concept of Testing Two Populations
- Sampling Distribution for the Difference in Means
- Testing for the Differences Between Two Population Means with Independent Samples
- When the Population Standard Deviations Are Known
- Testing a Difference Other Than Zero
- When the Population Standard Deviations Are Unknown
- Unequal Population Variances When the Population Standard Deviations Are Unknown
- Equal Population Variances When the Population Standard Deviations Are Unknown
- To Pool or Not to Pool?
- Testing for Differences Between Means with Dependent Samples
- Letting Excel Do the Grunt Work
- Testing for Differences Between Proportions with Independent Samples
- Practice Problems
- Appendixes
- About the Author
Probability Topics
The connection between descriptive and inferential statistics is based on probability concepts. We know the topic of probability theory scares the living daylights out of many students, but it is a very important topic in the world of statistics. The topic of probability acts as a critical link between descriptive and inferential statistics. Without a firm grasp of probability concepts, inferential statistics will seem like a foreign language. Because of this, Part 2 is designed to help you over this hurdle.
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