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Introduction to Modern Statistics
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Introduction to Modern Statistics is a re-imagining of a previous title, Introduction to Statistics with Randomization and Simulation.
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What Stands Out
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- Re-imagining of the previous title, Introduction to Statistics with Randomization and Simulation
- Emphasis on exploratory data analysis and multivariate relationships using visualization, summarization, and descriptive models
- Thorough discussion of simulation-based inference using randomization and bootstrapping, as well as the related Central Limit Theorem based approaches
- Available as a web native book in HTML for easy navigation and searchability in the browser, and also as a PDF and in paperback format
- Features 4-8 interactive R tutorials for each part, totaling 32 tutorials, using the tidyverse for data wrangling and visualization and the tidyverse-friendly infer package for inference
- Includes 1-2 R based labs for each part, consisting of data analysis case studies and making heavy use of the tidyverse and infer packages, and provides links to the raw data used in the book
| Publisher | OpenIntro, Inc. |
| Publication date | June 12, 2021 |
| Language | English |
| Print length | 549 pages |
| ISBN-10 | 1943450145 |
| ISBN-13 | 978-1943450145 |
| Item Weight | 3.06 pounds (1.39 kg) |
| Dimensions | 8.5 x 1.24 x 11 inches (21.6 x 3.1 x 27.9 cm) |
Who Should Buy?
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Beginner Students
Students new to statistics will find the foundational concepts clearly presented and accessible.
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Professionals in Data
Data analysts and other professionals can enhance their understanding of statistical methods and applications.
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Self-Learners
Individuals seeking to independently learn modern statistical techniques can benefit from the comprehensive materials and examples.
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Advanced Statisticians
Experienced statisticians may find the content too basic as it covers introductory topics.
Product Description
Introduction to Modern Statistics
About This Item
Enhance your statistical skills and unlock the power of data with the Introduction to Modern Statistics. Whether you're a professional looking to advance your career or a student exploring the world of statistical analysis, this comprehensive guide has got you covered. Designed for beginners and seasoned statisticians alike, this book covers the essential concepts and techniques used in modern statistical analysis. From probability and statistics to statistical inference and hypothesis testing, you'll gain a solid foundation in the field. One of the highlights of this book is its focus on applied statistics.
You'll learn how to apply statistical methods to real-world situations and make data-driven decisions. With insights from various industries and disciplines, you'll see how statistics can be a powerful tool in solving complex problems. If you're interested in data science, this book is a must-have. It delves into the statistical modeling techniques used in data analysis and provides a step-by-step approach to understanding and implementing them.
You'll also discover how to use statistical software and visualization tools to analyze and communicate your findings effectively. With clear explanations, practical examples, and exercises to reinforce your understanding, this book makes learning statistics accessible and engaging. Whether you're studying on your own or in a classroom setting, you'll find everything you need to master the subject. Don't miss out on the opportunity to become a skilled statistician. Get your hands on the Introduction to Modern Statistics and unlock the power of data analysis today.
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Probability & Statistics Editorial Review
Introduction to Modern Statistics offers a comprehensive look at statistical methods, making it an ideal resource for both students and professionals. Published by OpenIntro, Inc., the book spans 549 pages and covers essential topics in a clear and engaging manner, suitable for readers with varying levels of expertise. Its dimensions of 8.5 x 1.24 x 11 inches make it a substantial yet manageable textbook. Readers can expect a wealth of information presented in accessible language, enhancing the learning experience. This textbook is a significant addition for anyone looking to deepen their understanding of modern statistical analysis.
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Pros
- Comprehensive coverage of statistical topics
- Published by a reputable source
- Clear and engaging writing style
- Suitable for various expertise levels
- Well-structured format for easy navigation
Cons
- The size may be bulky for some users
Product Price History
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Features & Benefits
- Heavy emphasis on exploratory data analysis
- Thorough discussion of simulation-based inference
- Web native book with easy navigation
- Includes interactive R tutorials
- Features R-based labs for data analysis case studies
- Datasets marked with links to raw data
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