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Statistics With R: Solving Problems Using Real-World Data
Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems.
Statistics With R: Solving Problems Using Real-World Data
Item #: 23605116

Statistics With R: Solving Problems Using Real-World Data

Item #: 23605116

BHD 74

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Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems.
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What Stands Out

Real-World Applications
This textbook emphasizes real-world data analysis, allowing learners to apply statistical concepts using practical examples, making statistics relevant and engaging for students and professionals alike.
Integrated R Approach
Combining R programming with statistical theory, this book guides users through coding exercises, enhancing both statistical understanding and programming proficiency essential for modern data analysis.
Comprehensive Guide
With step-by-step instructions and a clear structure, this edition serves as a thorough resource for both beginners and advanced users, ensuring a solid foundation in statistical methodologies.

Product Details

Shop Statistics With R: Solving Problems Using Real-World Data online at a best price in Bahrain. 1506388159
  • Introduces foundational statistics concepts with beginner-friendly R programming
  • Incorporates examples from the social and behavioral sciences
  • Features the R Team characters who work together to master statistical analysis and data visualization using R
  • Engages students in investigating contemporary issues like marijuana legalization and the opioid epidemic
  • Provides step-by-step guidance with full-color illustrations of R statistics and interactive exercises
  • Inspired by the programming group R Ladies
Publisher SAGE Publications, Inc
Publication date February 10, 2020
Edition 1st
Language English
Print length 784 pages
ISBN-10 1506388159
ISBN-13 978-1506388151
Item Weight 2.98 pounds (1.35 kg)
Dimensions 8 x 1.06 x 10 inches (20.3 x 2.7 x 25.4 cm)

Who Should Buy?

Suitable For
  • Data Science Students

    Perfect for students looking to enhance their statistical analysis skills using R with real-world datasets.

  • Professional Researchers

    Ideal for researchers needing practical techniques to analyze data and interpret results effectively in their field.

  • Statistical Analysts

    Great for analysts wanting to expand their practical R programming skills for data visualization and interpretation.

Not Suitable For
  • Beginners to Statistics

    Not suitable for individuals completely new to statistics as it assumes prior knowledge of basic concepts.

Product Description

Statistics With R: Solving Problems Using Real-World Data

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Statistics Editorial Review

**** "Statistics With R: Solving Problems Using Real-World Data" presents a compelling introduction to statistical analysis using the R programming language, focusing on practical applications rather than extensive theoretical groundwork. Many readers appreciate the book’s unique approach, highlighting its strength in getting straight into the application of R with real-world data sets, making it particularly suitable for self-study. The integration of exercises encourages hands-on learning, fostering an active engagement with statistical concepts. However, user feedback is mixed when it comes to the writing style and accessibility of certain content. While proponents admire its thoroughness and assertiveness in tackling statistics using R, detractors have criticized the Prose as overly whimsical, which they find distracting, especially when attempting to grasp complex statistical methodologies. Additionally, some users express frustration over the limited availability of exercise solutions only to educators, which restricts learners who are delving into self-study. Overall, while "Statistics With R" is praised for its innovative approach and practical focus, it appears that some users may find the book's style less appealing and its resource accessibility inadequate. This dichotomy indicates that while the book can be a valuable asset to independent learners, others may struggle with its unique tone and the lack of support in solving certain exercises. **

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Pros

  • Engaging approach focusing on real-world data applications of R.
  • Encourages active participation through hands-on exercises.
  • Ideal for self-study, especially for independent learners.

Cons

  • Writing style may be perceived as overly whimsical or distracting.

Product Price History

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