Introductory Statistics, Fifth Edition, reviews statistical concepts and techniques in a way that teaches students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples, applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase intuition. Applications and examples refer to real-world issues, such as gun control, stock price models, vaccines and other health issues, driving age limits, and many others.
To quote from the preface, it is only when a student develops a feel or intuition for statistics that they are really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples.
1. Introduction to Statistics
2. Describing Data Sets
3. Using Statistics to Summarize Data
4. Probability
5. Discrete Random Variables
6. Normal Random Variables
7. Distribution of sampling Statistics
8. Statistical Estimation
9. Testing Statistical Hypotheses
10. Hypothesis Testing concerning two populations
11. Analysis of Variance
12. Linear Regression
13. Chi-squared goodness of fit tests
14. Nonparametric Hypothesis Tests
15. Quality Control
16. Machine Learning and Big Data
APPENDIX A
APPENDIX B
ANSWERS TO ODD-NUMBERED PROBLEMS
Index
