| Feature | Details | |---|---| | | Fundamentals of Applied Statistics | | Authors | S.C. Gupta & V.K. Kapoor | | Latest Edition | 4th Revised Edition (2007 / 2019 reprint) | | Publisher | Sultan Chand & Sons, New Delhi | | Pages | Approx. 712 (xvi + 712) | | ISBN | 978-81-8054-705-8 | | Price | MRP: ₹625; available online for approx. ₹295–₹674 |
Techniques for monitoring and maintaining quality in industrial processes.
Exercises at the end of each chapter allow students to test their analytical skills, complete with final numerical answers for self-verification. Target Audience and Exam Preparation
Suitable for those pursuing degrees in Statistics, Mathematics, Economics, and Commerce.
The book "Fundamentals of Applied Statistics" by SC Gupta covers a wide range of topics, including:
The book provides an in-depth look at how to set up scientific experiments to ensure data collection is unbiased and statistically valid.
: Techniques for maintaining product quality in manufacturing. Time Series Analysis
Fundamentals Of Applied Statistics Sc Gupta Pdf |work| -
| Feature | Details | |---|---| | | Fundamentals of Applied Statistics | | Authors | S.C. Gupta & V.K. Kapoor | | Latest Edition | 4th Revised Edition (2007 / 2019 reprint) | | Publisher | Sultan Chand & Sons, New Delhi | | Pages | Approx. 712 (xvi + 712) | | ISBN | 978-81-8054-705-8 | | Price | MRP: ₹625; available online for approx. ₹295–₹674 |
Techniques for monitoring and maintaining quality in industrial processes.
Exercises at the end of each chapter allow students to test their analytical skills, complete with final numerical answers for self-verification. Target Audience and Exam Preparation
Suitable for those pursuing degrees in Statistics, Mathematics, Economics, and Commerce.
The book "Fundamentals of Applied Statistics" by SC Gupta covers a wide range of topics, including:
The book provides an in-depth look at how to set up scientific experiments to ensure data collection is unbiased and statistically valid.
: Techniques for maintaining product quality in manufacturing. Time Series Analysis