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Probability and Statistics for Engineering and the Sciences
87% of respondents would recommend this to a friend
€ 258
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This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty.
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What Stands Out
Detaily produktu
| Publisher | Cengage Learning |
| Publication date | January 1, 2011 |
| Edition | 8th |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 0538733527 |
| ISBN-13 | 978-0538733526 |
| Item Weight | 3.3 pounds (1.5 kg) |
| Dimensions | 8.25 x 1.25 x 10.25 inches (21 x 3.2 x 26 cm) |
Who Should Buy?
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Engineering Students
Ideal for undergraduate engineering students needing a comprehensive foundation in probability and statistics for coursework and projects.
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Data Science Majors
Beneficial for those studying data science, providing essential statistical tools and methods for data analysis and interpretation.
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Professionals in STEM
Useful for professionals in science, technology, engineering, and mathematics who require strong statistical skills for real-world applications.
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Absolute Beginners
Not suitable for individuals with no prior knowledge of statistics or mathematics, as it may be too advanced.
OPIS PRODUKTU
Probability and Statistics for Engineering and the Sciences
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Probability & Statistics Editorial Review
**** The 8th Edition of "Probability and Statistics for Engineering and the Sciences" has garnered a generally positive reception among students pursuing engineering and statistics. The book is recognized for its rigorous approach, ideal for those with a solid grounding in calculus and set theory, who are looking to delve into probability and statistics at a higher level. Many reviewers appreciate the clear explanations and structured layout of content, highlighting how essential formulas are prominently displayed for ease of reference. Students pursuing degrees in statistics and mathematics have found it to be an excellent resource, often noting that they gained a deeper understanding of the subject matter—sometimes even more than from lectures. The incorporation of engineering applications in the homework problems presents added value for engineering students, making the content relatable to real-world scenarios. Reviewers specifically recommend acquiring the solutions manual to fully benefit from the step-by-step problem-solving approaches provided. However, several criticisms have emerged in relation to the book's complexity and verbosity. Some users feel the problems can be overly long or poorly worded, which may hinder understanding. Additionally, certain formulas may seem unnecessarily complicated, creating a perception that the content is more challenging than it needs to be. The book's steep price point has also been a common concern, with many users expressing their belief that the costs do not align with the size and format of the text. Despite these drawbacks, the book stands out as a comprehensive introduction to more advanced statistical concepts, providing a solid foundation for anyone serious about their studies in this field. Students are encouraged to ensure they are adequately prepared before tackling the coursework associated with this text. **
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Pros
- Comprehensive and rigorous content suitable for engineering and statistics students.
- Clear explanations and structured format enhance understanding.
- Useful for real-world engineering applications; problems focus on relevant scenarios.
- Prominent display of major formulas for easy reference.
- Recommended as a reference book for advanced statistics courses.
Zápory
- May be too complex for those without a strong calculus background.
Product Price History
Dôležité informácie
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€ 258
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Funkcie a výhody
- Comprehensive introduction tailored for engineering students.
- Focuses on concepts, models, methodology, and applications.
- Includes over 40 new examples and 100 new problems.
- Simplifies language for improved clarity and understanding.
- Features real-world examples to enhance comprehension.
- Strong computer coverage with practical applications.
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