Title
Lapis Lucera Statistics (the Easier Way) with R, 3rd Ed: Informal Text on Statistics & Data Science for Beginners
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
TIDYVERSION is an essential resource tailored for aspiring data scientists, graduate students embarking on research, and undergraduate students enrolled in applied statistics courses. This unique book is specifically designed for those beginning their journey in data science and statistical inference.
This comprehensive guide provides an integrated approach to statistical inference techniques, making it a perfect companion for quality improvement professionals and consultants who wish to enhance their analytical skills. Utilizing the R Statistical Software, TIDYVERSION equips readers with the tools needed to harness the power of data science effectively.
The methodologies presented in this book are framed within an easy-to-follow 7 Step methodology, allowing readers to apply statistical techniques with confidence. This structured approach simplifies complex concepts, making them accessible to individuals with varying levels of expertise.
Moreover, TIDYVERSION emphasizes the use of tidyverse packages, including ggplot, dplyr, and magrittr, which are crucial for data manipulation and visualization. These packages are not only integral to R but also vital for developing a solid foundation in data science practices.
Key Features:
- Target Audience: Perfect for beginning and intermediate data scientists, graduate students, and professionals in quality improvement.
- Integrated Treatment: Offers a thorough examination of statistical inference techniques using R Statistical Software.
- 7 Step Methodology: Simplifies the application of statistical methods, making them easier to understand and implement.
- Tidyverse Emphasis: Focuses on essential R packages like ggplot, dplyr, and magrittr for effective data analysis and visualization.
By combining theory with practical application, TIDYVERSION stands out as a pivotal educational tool for anyone looking to deepen their understanding of data science. Whether you are a student or a professional, this book will guide you through the intricacies of statistical inference, ensuring you are well-prepared to tackle real-world data challenges.
Enhance your learning experience and elevate your statistical skills with TIDYVERSION. This book is not just a resource; it is a gateway to mastering the art of data science and statistical analysis, providing the knowledge and confidence needed to thrive in an increasingly data-driven world.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the size of the book? A: The book measures seven point five two inches in length, one point two two inches in width, and nine point two five inches in height.
- Q: How many pages does the book have? A: The book contains five hundred thirty-nine pages, providing a comprehensive overview of statistics and data science.
- Q: What is the binding type of the book? A: The book is published in paperback format, making it lightweight and portable for readers.
- Q: Who is the author of the book? A: The book is authored by N M Radziwill, who has expertise in statistics and data science.
- Q: Is this book suitable for beginners? A: Yes, the book is designed for beginning and intermediate data scientists, making it accessible for new learners.
- Q: What topics does this book cover? A: The book covers statistical inference techniques and data science methodologies, framed within a seven-step approach.
- Q: Is this book appropriate for graduate students? A: Yes, the book is suitable for graduate students starting research, as it provides essential statistical concepts.
- Q: Can this book help with applied statistics classes? A: Yes, it is designed for undergraduate students taking first or second applied statistics classes, offering practical insights.
- Q: What is the focus of this book? A: The focus is on integrating statistical inference techniques with the R Statistical Software, emphasizing tidyverse packages.
- Q: How should I care for this book? A: To keep the book in good condition, store it in a cool, dry place and avoid exposure to direct sunlight.
- Q: Is there a warranty for this book? A: Books typically do not come with warranties, but check with the seller for specific return policies.
- Q: What if my book arrives damaged? A: If your book arrives damaged, contact the seller for return instructions and options for a replacement.
- Q: Can I use this book for quality improvement programs? A: Yes, the book is also beneficial for quality improvement professionals and consultants in their statistical analyses.
- Q: Does the book include examples and exercises? A: Yes, the book includes practical examples to help readers apply statistical techniques effectively.
- Q: Is this book suitable for quality improvement professionals? A: Yes, it is tailored to meet the needs of quality improvement professionals seeking statistical insights.