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More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems.
| Publisher | McGraw Hill |
| Publication date | April 28, 2011 |
| Edition | 1st |
| Language | English |
| Print length | 304 pages |
| ISBN-10 | 0071736468 |
| ISBN-13 | 978-0071736466 |
| Item Weight | 15.7 ounces (445.1 grams) |
| Dimensions | 8.3 x 0.2 x 10.9 inches (21.1 x 0.5 x 27.7 cm) |
| Part of series | Schaum's Outlines |
Provides essential understanding of statistics, ideal for engineering students needing comprehensive study aids and practice problems.
Useful for engineers seeking to refresh their statistical knowledge and apply it in real-world engineering problems.
Great resource for individuals independently learning statistics, offering structured content and clear explanations for understanding.
May be overwhelming for those with no background in statistics, lacking foundational concepts needed for comprehension.
Schaums Outline of Statistics for Engineers 1st Edition
The "Schaum's Outline of Statistics for Engineers" has received mixed feedback from users, primarily catered to those in academic settings and professionals in industries that heavily utilize statistical software. Many students reported that while the textbook covers a wide range of topics relevant to their statistics courses, its strong focus on software applications like MATLAB, Maple, and Excel might limit its usefulness during tests where these tools are not permitted. This reliance on technology may divert the attention of students who are looking for foundational statistical concepts instead of practical applications. However, some users found great value in the book, praising it as a helpful supplement that offers clear explanations and numerous examples. For those struggling with their primary textbooks, this outline serves as a beneficial resource filled with easy-to-understand content that assists in grasping complex statistical principles. Conversely, there were negative reviews where users felt the book was inadequate, noting they only gleaned minimal value from it. These sentiments point to a dichotomy in how the book serves its audience: it could either be a robust resource for data-heavy industries or a stripped-down reference for students who require a more traditional understanding of statistics without the crutch of software. Overall, "Schaum's Outline of Statistics for Engineers" appears best suited for professionals and those in quantitative fields, rather than as a standalone textbook for students. **
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