Statistics in a Nutshell: A Desktop Quick Reference
If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
Statistics in a Nutshell: A Desktop Quick Reference
Nº de artículo: 24782538

Statistics in a Nutshell: A Desktop Quick Reference

Nº de artículo: 24782538

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If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
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What Stands Out

Comprehensive Coverage
Offers an extensive overview of statistical concepts, making it a perfect quick reference for students and professionals needing clear explanations of key principles and formulas.
User-Friendly Layout
With its organized design, the reference facilitates easy navigation, allowing users to quickly locate specific information without confusion or overwhelming detail.
Updated Content
This second edition includes the latest statistical techniques and examples, ensuring readers stay informed about modern practices and applications in various fields.

Detalles de producto

Publisher O'Reilly Media
Publication date December 25, 2012
Edition 2nd
Language English
Print length 591 pages
ISBN-10 1449316824
ISBN-13 978-1449316822
Item Weight 1.8 pounds (820 grams)
Reading age 1 year and up
Dimensions 6 x 1.4 x 9 inches (15.2 x 3.6 x 22.9 cm)
Part of series In a Nutshell (O'Reilly)

Who Should Buy?

Suitable For
  • Students in Statistics

    Ideal for undergraduate students needing a quick reference to essential statistical concepts and formulas.

  • Data Analysts

    Useful for data analysts requiring quick access to statistical methods and interpretations in their daily work.

  • Researchers

    Beneficial for researchers who need concise summaries of statistical procedures in their various academic fields.

Not Suitable For
  • Beginners in Statistics

    Not suitable for complete beginners who may need more comprehensive explanations and tutorials on statistics.

DESCRIPCIÓN DEL PRODUCTO

Statistics in a Nutshell: A Desktop Quick Reference

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Probability & Statistics Editorial Review

** Statistics in a Nutshell: A Desktop Quick Reference (2nd Edition)** "Statistics in a Nutshell" emerges as a crucial resource for anyone looking to refresh their knowledge of biostatistics and statistical concepts. This textbook effectively bridges the gap for those who may have previously taken a statistics course but left their understanding a bit hazy. It serves primarily as a reference tool rather than an introductory text, making it a valuable companion for upper-level undergraduate and graduate students alike. The content is tailored for practical application, catering specifically to individuals needing to apply statistical methods in diverse contexts—be it finance, productivity, or database analysis. The authors have ensured that the explanations of key concepts such as sample selection, confidence intervals, and trend analysis are clear and accessible, allowing readers to easily digest complex ideas. However, it is important to note that the book does not delve into advanced analysis techniques, making it less suitable for those seeking an exhaustive technical manual. While many users have appreciated the straightforward writing style, which simplifies potentially daunting topics without oversimplifying, there is a common wish for more practice questions to accompany the chapters. "Statistics in a Nutshell" stands out as a commendable supplement to academic lectures and can serve as a primary resource for individuals looking for a more concise and understandable guide to statistics. **Pros and Cons:** **

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ventajas

  • Simplifies complex biostatistical concepts for easy understanding.
  • Excellent as a reference tool for occasional use of statistical techniques.
  • Well-written and easy to follow, making it suitable for graduate and upper-level undergraduate students.
  • Affordable compared to traditional college textbooks.
  • Clear explanations promote effective learning and application of statistical methods.

Contras

  • Does not provide in-depth analysis techniques; better suited for practical application rather than comprehensive learning.

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