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Introductory Statistics (ePub eBook) 5th edition

eBook by Ross, Sheldon M.

Introductory Statistics (ePub eBook)

£78.99

ISBN:
9780443438912
Publication Date:
19 May 2026
Edition:
5th edition
Publisher:
Elsevier Science & Technology
Imprint:
Academic Press Inc
Pages:
824 pages
Format:
eBook
For delivery:
Download available
Introductory Statistics (ePub eBook)

Description

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.- Includes the most commonly used statistical software packages (SAS, SPSS, Minitab, R- Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context- Offers exercises and examples that help guide the student towards independent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud, analytics and big data

Contents

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

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