Table of Content

1. Introduction.
2. Grouping and Displaying Data to Convey Meaning: Tables and Graphs.
3. Measures of Central Tendency and Dispersion in Frequency Distributions.
4. Probability I: Introductory Ideas.
5. Probability Distributions.
6. Sampling and Sampling Distributions.
7. Estimation.
8. Testing Hypotheses: One Sample Tests.
9. Testing Hypotheses: Two-Sample Tests.
10. Quality and Quality Control.
11. Chi-Square and Analysis of Variance.
12. Simple Regression and Correlation.
13. Multiple Regression and Modeling.
14. Nonparametric Methods.
15. Time Series and Forecasting.
16. Index Numbers.
17. Decision Theory.

Salient Features

• Divides end-of-section exercises into (1) self-check exercises with worked out answers, (2) basic exercises, and (3) application exercises.
• Features “Hints and Assumptions, ” notes that review important assumptions in solving problems, provide useful hints for working the exercises that follow, and warn students of potential pitfalls in finding solutions.
• Conducts all hypothesis tests using the standardized scale.
• Updates and adapts scenarios for 150 exercises.
• Doubles the total number of real-world exercises.
• Includes easy-to-understand explanations of difficult statistical topics.
• Provides a complete package of teaching/learning aids in every chapter.
• Omits complex notation in favor of graphic and verbal explanations.
• Offers more total exercises than any other text.