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156021909
Scientific Inference: Learning from Data (Hardcover)
85% of respondents would recommend this to a friend
Nº de artículo:
156021909
NIO 4495
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The book provides the knowledge and practical experience to begin analyzing scientific data, making it ideal for physical sciences students.
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What Stands Out
Data-Driven Insights
This book emphasizes the importance of utilizing data to make informed decisions, enhancing readers' analytical skills and enabling them to uncover valuable insights from complex datasets.
Comprehensive Approach
It covers a broad range of scientific inference methods, providing readers with a thorough understanding of statistical techniques, enhancing their ability to apply these concepts in real-world situations.
Expert Authors
Written by leading experts in the field, this book assures readers of authoritative content and practical guidance, making it an essential resource for researchers and students alike.
Detalles de producto
| Manual & guide type | Instruction Manual |
| Book format | Hardcover |
| Edition | 1st Edition |
| Pages | 236 |
| Language | English |
| Brand | Dr Simon Vaughan |
| Pub date | 2013-11-11 |
| Author | Dr Simon Vaughan |
| Genre | Education |
| Bisac subject heading | Science |
| Height | 9.8 in (24.89 cm) |
| Educational level | College |
| Age group | Adult |
| Original languages | English |
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to deepen their understanding of statistical inference and data analysis techniques.
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Graduate Students
Beneficial for graduate students studying statistics, offering rigorous insights into scientific methodologies and inferential statistics.
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Researchers
Useful for researchers in various fields needing a comprehensive guide to making inferences from complex data sets.
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Casual Readers
Not suitable for casual readers seeking light reading; the content is dense and academically focused.
DESCRIPCIÓN DEL PRODUCTO
Scientific Inference: Learning from Data (Hardcover)
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Dr Simon Vaughan General Probability & Statistics Mathematics Books Editorial Review
Scientific Inference: Learning from Data (Hardcover) offers a comprehensive guide for college-level readers interested in the science behind data interpretation. Authored by Dr. Simon Vaughan, this 236-page volume is designed for adults seeking to enhance their understanding of scientific principles through data analysis. The hardcover format ensures durability for repeated reference, while its clear instruction manual style eases the learning process. With the publication date of November 11, 2013, it remains relevant for those pursuing education in scientific fields. Readers appreciate the structured content, which facilitates a deeper grasp of complex concepts in science, making it an enticing resource for academics.
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ventajas
- Durable hardcover format for longevity
- Clear instructions enhance learning
- Suitable for college-level education
- Provides a structured approach to data interpretation
- Engaging for adult learners
Contras
- Limited to those with basic science background
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características y beneficios
- Gain practical experience in analyzing scientific data.
- Ideal for physical sciences students aiming to enhance data handling skills.
- Focus on basic statistical analysis with core concepts.
- Includes graphical explanations and worked examples.
- Features example computer code and real data case studies.
- Develop a solid understanding of statistical methods and their application.
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