Second Course in Statistics, A Regression Analysis 8th Edition William Mendenhall

Answer handbook for Second Course in Statistics, A Regression Analysis 8th Edition William Mendenhall 

1. ISBN-10

   013516379X

2. ISBN-13

   978-0135163795

Provides college students the background and confidence to use regression evaluation strategies

A Second Course in Statistics: Regression Analysis, 8th Edition is a highly readable text that explains concepts in a logical, intuitive manner with worked-out examples. Applications to engineering, sociology, psychology, science, and business are demonstrated throughout; real data and scenarios extracted from news articles, journals, and actual consulting issues are used to apply the concepts, enabling students to gain experience using the methods outlined in the text.

Seven case studies throughout the text invite students to focus on specific problems, and are suitable for class discussion. The 8th Edition incorporates several substantial changes, additions, and improvements to the case studies, data sets, and software tutorials.

FAQs

1. Is this book suitable for college-level statistics courses?

Yes, Second Course in Statistics: Regression Analysis, 8th Edition is designed to provide college students with the background and confidence to apply regression analysis techniques effectively.

2. What are some of the applications covered in the book?

The book covers applications to engineering, sociology, psychology, science, and business, demonstrating how regression analysis can be used in various fields.

3. Are there practical examples included in the text?

Yes, the text includes worked-out examples, real data, and scenarios extracted from news articles, journals, and consulting problems to help students apply the concepts in a practical context.

Conclusion

“A Second Course in Statistics: Regression Analysis, 8th Edition” by William Mendenhall is a comprehensive resource that equips students with the knowledge and skills needed to understand and apply regression analysis techniques. With practical examples and case studies, this text provides a clear and intuitive explanation of statistical concepts. It is a valuable tool for students studying statistics in various disciplines.