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James Stephen's Intermediate Statistics book offers a comprehensive coverage of several statistical techniques such as one-way, power and factorial analysis of variance, repeated measures analysis, simple and multiple regression and more. The book provides numerical, conceptual and computer exercises to enhance understanding and SAS & SPSS are an integral part of each chapter. The author focuses on a conceptual understanding of the material rather than on proving the results.
Intermediate Statistics
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James Stephen's Intermediate Statistics book offers a comprehensive coverage of several statistical techniques such as one-way, power and factorial analysis of variance, repeated measures analysis, simple and multiple regression and more. The book provides numerical, conceptual and computer exercises to enhance understanding and SAS & SPSS are an integral part of each chapter. The author focuses on a conceptual understanding of the material rather than on proving the results.
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Dettagli del prodotto
- Written for those who use statistical techniques
- Focuses on conceptual understanding rather than proving results
- Integrates SAS and SPSS in each chapter
- Emphasizes assumptions underlying each analysis
- Comprehensive coverage of various statistical analyses
- Suitable for intermediate statistics or statistics II courses
| Publisher | Routledge |
| Publication date | July 6, 2007 |
| Edition | 3rd |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 0805854665 |
| ISBN-13 | 978-0805854664 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 5.98 x 1.07 x 9.02 inches (15.2 x 2.7 x 22.9 cm) |
A chi è consigliato?
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Graduate Students
Ideal for students pursuing advanced degrees in social sciences requiring a solid foundation in statistical methods and analyses.
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Data Analysts
Beneficial for professionals seeking to enhance their understanding of intermediate statistical techniques for data interpretation and modeling.
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Academics
Useful for educators looking for a comprehensive resource to teach intermediate statistics effectively to university students.
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Beginner Users
Not suitable for total novices lacking prior knowledge of basic statistics, as it covers more advanced topics.
DESCRIZIONE DEL PRODOTTO
About This Item
Looking to enhance your understanding of statistics with a modern and practical approach? Look no further than "Intermediate Statistics: A Modern Approach, Third Edition." This comprehensive textbook is a must-have for students and professionals alike who want to delve deeper into the world of statistics. With a focus on real-world applications and cutting-edge techniques, this book is perfect for anyone seeking to master statistical analysis. The third edition of "Intermediate Statistics: A Modern Approach" offers updated content and examples to ensure you are equipped with the latest knowledge in the field. Written by renowned authors, this book takes you on a journey through the key concepts and methods in statistics, from probability and hypothesis testing to regression analysis and experimental design. The modern approach in this book means you'll be learning statistics in a way that is relevant to today's data-driven world.
It emphasizes the practical application of statistical techniques and provides numerous examples and exercises to reinforce your understanding. Whether you are a student studying statistics or a professional looking to enhance your analytical skills, "Intermediate Statistics: A Modern Approach, Third Edition" is the perfect resource for you. Take your statistical knowledge to the next level and gain a competitive edge in your field with this comprehensive textbook. Don't miss out on the opportunity to master intermediate statistics with a modern approach. Add "Intermediate Statistics: A Modern Approach, Third Edition" to your cart now and take your statistical analysis skills to new heights.
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Biostatistics Editorial Review
In reviewing "Intermediate Statistics: A Modern Approach" by Stevens, the reception from customers presents a dichotomy of opinions, pointing to both strengths and weaknesses in the book’s utility for different audiences. On one hand, several users commend the book for its well-structured approach and the depth of detail it provides for understanding statistical analyses. Readers appreciate that it avoids overwhelming its audience with excessive technical jargon, making complex concepts more approachable for those with a fundamental grasp of statistics and algebra. A professor of research methods points out its value in academic settings, particularly for doctoral students, as it balances mathematical explanations with conceptual clarity. Conversely, there are notable critiques regarding the book’s accessibility for beginners. Some readers found the writing overly technical, indicating that novice users may struggle to fully engage with the content without a solid foundation in statistics. Additionally, typographical errors have been cited as a significant drawback, detracting from the overall readability. There were also comments highlighting that the examples provided could be misleading or inaccurately represented, which further complicates the learning process. The absence of updated SPSS syntax and the limited depth in some areas have left users hoping for a more comprehensive resource. Despite these shortcomings, many who are familiar with basic statistics still find value in the book. Overall, "Intermediate Statistics: A Modern Approach" appears to be a well-received resource for readers who have previously acquired foundational knowledge, while potential beginners may need to seek out supplementary materials to effectively benefit from its content. **
Recensioni e valutazioni dei clienti
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5 stella
65%
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4 stella
11%
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3 stella
9%
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2 stella
6%
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1 stella
9%
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Vantaggi
- Provides detailed explanations of statistical analyses
- Balances mathematical concepts with accessible explanations
- Found useful in academic settings, particularly for advanced students
- Good resource for those with a solid grounding in basic statistics and algebra
Contro
- Too technical for absolute beginners; requires prior knowledge
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Caratteristiche e benefici
- Comprehensive coverage of several statistical techniques
- Numerical, conceptual, and computer exercises to enhance understanding
- SAS and SPSS are an integral part of each chapter
- Focus on conceptual understanding rather than just proving results
- Suitable for intermediate statistics or statistics II courses in various social and behavioral sciences
- An Instructor's Resource is available upon adoption
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