menu
{ "item_title" : "Modern Statistical Thinking", "item_author" : [" Chase Barrett Chloe Robinson "], "item_description" : "This book presents a clear and comprehensive exploration of statistical reasoning suited for contemporary learners and analysts. It offers an integrated treatment of classical statistical foundations and emerging data science methodologies, enabling readers to understand both established principles and modern innovations. The content emphasizes conceptual understanding alongside computational practice, illustrating how probability, inference, modeling, and exploratory analysis contribute to meaningful interpretation of data. Examples and applications are drawn from a wide range of fields to demonstrate the relevance of statistical thinking across disciplines. The text highlights the importance of uncertainty, evidence evaluation, and ethical considerations, ensuring that readers develop a balanced and responsible analytical perspective. Designed to support both academic study and practical application, the book provides a structured pathway toward building statistical literacy and fostering data-driven decision-making.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/78/715/654/1787156540_b.jpg", "price_data" : { "retail_price" : "158.99", "online_price" : "158.99", "our_price" : "158.99", "club_price" : "158.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modern Statistical Thinking|Chase Barrett Chloe Robinson

Modern Statistical Thinking : Principles for the Data Driven Era

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book presents a clear and comprehensive exploration of statistical reasoning suited for contemporary learners and analysts. It offers an integrated treatment of classical statistical foundations and emerging data science methodologies, enabling readers to understand both established principles and modern innovations. The content emphasizes conceptual understanding alongside computational practice, illustrating how probability, inference, modeling, and exploratory analysis contribute to meaningful interpretation of data. Examples and applications are drawn from a wide range of fields to demonstrate the relevance of statistical thinking across disciplines. The text highlights the importance of uncertainty, evidence evaluation, and ethical considerations, ensuring that readers develop a balanced and responsible analytical perspective. Designed to support both academic study and practical application, the book provides a structured pathway toward building statistical literacy and fostering data-driven decision-making.

This item is Non-Returnable

Details

  • ISBN-13: 9781787156548
  • ISBN-10: 1787156540
  • Publisher: Kruger Brentt Publisher Uk. Ltd.
  • Publish Date: January 2026
  • Dimensions: 10 x 7 x 0.69 inches
  • Shipping Weight: 1.56 pounds
  • Page Count: 282

Related Categories

You May Also Like...

    1

BAM Customer Reviews