A: Those sites host pirated copies. Accessing them may violate your institution’s IT policy and local copyright law. Use ethical alternatives.
To get the most out of this comprehensive textbook, avoid passive reading. Applied statistics requires an active, hands-on approach to learning:
Explains how to control variability along two orthogonal sources (rows and columns), optimizing resource allocation. 3. Time Series Analysis and Index Numbers
Demographic techniques for studying population, birth, and death rates. A: Those sites host pirated copies
S.C. Gupta and V.K. Kapoor's Fundamentals of Applied Statistics
Fundamentals of Applied Statistics by S.C. Gupta and V.K. Kapoor is a definitive textbook used primarily by undergraduate and postgraduate students in India and abroad. Published by Sultan Chand & Sons, it serves as a companion to the authors' other major work, Fundamentals of Mathematical Statistics , but focuses on the practical application of statistical methods in fields like economics, agriculture, and demography.
designs to study the interaction effects between multiple factors. 3. Index Numbers and Time Series Analysis To get the most out of this comprehensive
The book is structured to minimize mathematical complexity, requiring only basic calculus for comprehension. It covers nine primary areas of applied statistics:
For visually impaired students, an authorized audio-accessible format is sometimes available through specialized libraries like Sugame Pustakalai. Conclusion
Breaks down components of time series (trend, seasonal, cyclical, irregular) and methods of trend estimation like moving averages and least squares. Design of Experiments: Details the construction
The authors have purposely designed the text to avoid unnecessary mathematical complexity, requiring only elementary knowledge of calculus. Key Topics Covered in the Book
The book is structured to guide readers through various specialized fields of statistics, making it a staple for competitive exams like the Indian Statistical Service (ISS). Key areas include: Analysis of Variance (ANOVA): Detailed treatment of one-way and two-way classifications. Design of Experiments:
Details the construction, shifting, and splicing of price and quantity indices, including Laspeyres, Paasche, and Fisher’s Ideal Index numbers.