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Introductory Statistics and Analytics: A Resampling Perspective
物品 #: 83660990

Introductory Statistics and Analytics: A Resampling Perspective

物品 #: 83660990

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What Stands Out

Comprehensive Resampling Methods
This book emphasizes resampling techniques, providing a thorough understanding and practical applications that differentiate it from traditional statistics resources, addressing complex data analysis challenges effectively.
Real-world Applications
Illustrates concepts through real data examples and case studies, making the material relevant and engaging for students looking to apply analytics in various fields, enhancing their learning experience.
Accessible Learning
Written in a clear, approachable style with detailed explanations, this text ensures that statistical concepts are easily understood, catering to students and professionals new to statistics or data analytics.

產品詳情

Shop Introductory Statistics and Analytics: A Resampling Perspective online at a best price in 香港. 1118881354
  • Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical conceptsNumerous interactive links designed to provide solutions to exercises and further information on crucial conceptsLinkages that connect statistics to the rapidly growing field of data scienceMultiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze dataAreas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Publisher Wiley
Publication date December 18, 2014
Edition 1st
Language English
Print length 320 pages
ISBN-10 1118881354
ISBN-13 978-1118881354
Item Weight 1.2 pounds (540 grams)
Dimensions 7 x 0.73 x 10 inches (17.8 x 1.9 x 25.4 cm)

Who Should Buy?

Suitable For
  • Students Learning Statistics

    Ideal for students beginning their statistics journey, providing foundational concepts through resampling techniques and clear explanations.

  • Data Science Enthusiasts

    Benefit data science learners seeking to understand analytics by focusing on hands-on resampling methods and practical applications.

  • Educators in Statistics

    Great resource for teachers looking to incorporate resampling perspectives into their curriculum, enhancing students’ conceptual understanding.

Not Suitable For
  • Advanced Statisticians

    Experienced statisticians may find the content too basic, lacking depth in advanced statistical methodologies beyond introductory concepts.

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Probability & Statistics Editorial Review

**** The customer experience surrounding "Introductory Statistics and Analytics: A Resampling Perspective" reflects a mixed palette of opinions, where some users find particular value in the educational methodologies while others express dissatisfaction with the textbook's clarity. Many reviews underscore a significant issue: the text appears dated, having been published in 2011, which leads to a perception that the material may not be entirely relevant or comprehensive for contemporary learners. While some students appreciate the resampling approach advocated by the author, stating that it makes complex statistical concepts more accessible through simulation techniques, others criticize the book for its unclear explanations and disorganized flow of information. For students who are looking to deepen their understanding of statistics, cross-referencing with supplementary resources seems essential, as many found themselves relying on other materials for better clarity. Conversely, there is recognition for the free PDF version available through the course, which many find updated and more user-friendly compared to the hard copy. Some users lamented the unnecessary expense of purchasing the hard copy when a no-cost downloadable option was available, labeling it as wasted money. Additionally, some students noted that the ancillary materials provided alongside the textbook are substantial, enhancing the learning experience. Overall, while the resampling perspective is appreciated for its modern approach to teaching introductory statistics, the dated nature of the hard copy and clarity issues invite critical feedback. Therefore, while some benefit immensely from this text and its associated software, others advise potential buyers to Consider relying on the free PDF version offered through the course for an improved educational experience. **

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優點

  • Offers a modern, intuitive approach to statistics through resampling techniques.
  • Excellent supplemental materials available, enhancing learning.
  • Free PDF version provided with the course, which is more current than the hard copy.

缺點

  • Hard copy edition is seen as outdated and disorganized.

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