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Introductory Statistics and Analytics: A Resampling Perspective
72% of respondents would recommend this to a friend
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What Stands Out
Product Details
| 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?
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Students Learning Statistics
Ideal for students beginning their statistics journey, providing foundational concepts through resampling techniques and clear explanations.
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Data Science Enthusiasts
Benefit data science learners seeking to understand analytics by focusing on hands-on resampling methods and practical applications.
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Educators in Statistics
Great resource for teachers looking to incorporate resampling perspectives into their curriculum, enhancing students’ conceptual understanding.
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Advanced Statisticians
Experienced statisticians may find the content too basic, lacking depth in advanced statistical methodologies beyond introductory concepts.
Product Description
Introductory Statistics and Analytics: A Resampling Perspective
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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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Pros
- 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.
Cons
- Hard copy edition is seen as outdated and disorganized.
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