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  • Q1
    Is this book suitable for beginners in statistics?
    A1

    Yes, it starts with foundational concepts and gradually progresses to advanced topics.

  • Q2
    Can this book help with competitive exams like UPSC or NET?
    A2

    Absolutely, it covers essential statistical concepts tested in competitive exams.

  • Q3
    Is this book useful for data science students?
    A3

    Yes, it covers key statistical methods used in data analysis and machine learning.

  • Q4
    Are statistical tables included in this book?
    A4

    Yes, essential statistical tables for hypothesis testing are provided.

  • Q5
    Is probability theory explained well in this book?
    A5

    Yes, it includes Bayes’ Theorem, random variables, and probability distributions.

  • Q6
    Is this book recommended for MBA students?
    A6

    Yes, it is useful for business statistics and research methodology courses.

  • Q7
    Are there real-world applications of statistical methods?
    A7

    Yes, practical examples and case studies are included.

  • Q8
    Is the language easy to understand?
    A8

    The book uses clear and structured explanations suitable for students.

  • Q9
    Does it include multiple regression analysis?
    A9

    Yes, Chapter 22 covers partial and multiple regression.

  • Q10
    Does this book include solved examples?
    A10

    Yes, it contains numerous solved problems for better understanding.

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1. Statistics—Definition, Scope, and Distrust
2. Classification and Tabulation of Data
3. Diagrammatic and Graphic Presentation of Data
4. Measures of Central Tendency or Averages
5. Measures of Dispersion
6. Skewness, Moments, and Kurtosis
7. Correlation Analysis
8. Regression Analysis
9. Time Series and Forecasting
10. Index Numbers
11. Probability and Bayes’ Theorem
12. Random Variable and Mathematical Expectation
13. Theoretical Distributions
14. Statistical Decision Theory
15. Sampling
16. Theory of Estimations
17. Statistical Inference—Tests of Significance
18. Chi-Square Test and Goodness of Fit
19. F-Distribution and Analysis of Variance
20. Association of Attributes
21. Interpolation and Extrapolation
22. Partial and Multiple Correlation and Regression
23. Statistical Quality Control
24. Non-Parametric Methods
25. Special Theoretical Distributions
26. Factorial Analysis
27. Revision Techniques [Results and Formulae—Chapterwise ]

Statistical Tables

Comprehensive Statistical Methods is an authoritative and well-structured book designed for undergraduate and postgraduate students, researchers, and professionals seeking an in-depth understanding of statistical concepts and their applications. Authored by renowned experts Dr. P.N. Arora, Sumeet Arora, Amit Arora, and S. Arora, this book serves as a complete reference for statistical theory, methodologies, and practical problem-solving techniques.

Key Features:

1. Extensive Coverage: The book covers fundamental to advanced topics, including descriptive statistics, probability, regression analysis, hypothesis testing, ANOVA, non-parametric methods, and statistical quality control.
2. Clear and Systematic Presentation: Concepts are explained in a structured manner with step-by-step derivations, making complex topics easy to grasp.
3. Practical Applications: Real-world examples and case studies help bridge the gap between theory and application.
4. Chapter-wise Formulae & Revision Techniques: A dedicated section consolidates key results and formulae for quick revision.
5. Statistical Tables Included: Essential statistical tables are provided for reference in hypothesis testing and data analysis.
6. Exam-Oriented Approach: The book includes numerous solved problems and exercises to aid in exam preparation.

Who Should Read This Book?

1. Students pursuing degrees in statistics, mathematics, economics, commerce, and management.
2. Researchers and data analysts looking for a strong theoretical foundation in statistical methods.
3. Competitive Exam Aspirants (UPSC, NET, SET, and other entrance tests).
4. Professionals in fields such as finance, business analytics, quality control, and market research.

Why Choose This Book?

1. Trusted Authorship: Written by experienced academicians with a strong background in statistical education.
2. Publisher’s Reputation: S Chand Publishing is known for high-quality educational books.
3. Balanced Approach: Combines theoretical rigor with practical problem-solving techniques.
4. Comprehensive Appendices: Includes statistical tables for quick reference during analysis.

Conclusion:

Comprehensive Statistical Methods is an indispensable resource for anyone looking to master statistical concepts. Its clear explanations, extensive coverage, and practical examples make it ideal for academic and professional use. Whether you are a student, researcher, or analyst, this book will serve as a reliable guide for understanding and applying statistical techniques effectively.

1. Statistics—Definition, Scope, and Distrust
2. Classification and Tabulation of Data
3. Diagrammatic and Graphic Presentation of Data
4. Measures of Central Tendency or Averages
5. Measures of Dispersion
6. Skewness, Moments, and Kurtosis
7. Correlation Analysis
8. Regression Analysis
9. Time Series and Forecasting
10. Index Numbers
11. Probability and Bayes’ Theorem
12. Random Variable and Mathematical Expectation
13. Theoretical Distributions
14. Statistical Decision Theory
15. Sampling
16. Theory of Estimations
17. Statistical Inference—Tests of Significance
18. Chi-Square Test and Goodness of Fit
19. F-Distribution and Analysis of Variance
20. Association of Attributes
21. Interpolation and Extrapolation
22. Partial and Multiple Correlation and Regression
23. Statistical Quality Control
24. Non-Parametric Methods
25. Special Theoretical Distributions
26. Factorial Analysis
27. Revision Techniques [Results and Formulae—Chapterwise ]

Statistical Tables

Have Doubts Regarding This Product ? Ask Your Question

  • Q1
    Is this book suitable for beginners in statistics?
    A1

    Yes, it starts with foundational concepts and gradually progresses to advanced topics.

  • Q2
    Can this book help with competitive exams like UPSC or NET?
    A2

    Absolutely, it covers essential statistical concepts tested in competitive exams.

  • Q3
    Is this book useful for data science students?
    A3

    Yes, it covers key statistical methods used in data analysis and machine learning.

  • Q4
    Are statistical tables included in this book?
    A4

    Yes, essential statistical tables for hypothesis testing are provided.

  • Q5
    Is probability theory explained well in this book?
    A5

    Yes, it includes Bayes’ Theorem, random variables, and probability distributions.

  • Q6
    Is this book recommended for MBA students?
    A6

    Yes, it is useful for business statistics and research methodology courses.

  • Q7
    Are there real-world applications of statistical methods?
    A7

    Yes, practical examples and case studies are included.

  • Q8
    Is the language easy to understand?
    A8

    The book uses clear and structured explanations suitable for students.

  • Q9
    Does it include multiple regression analysis?
    A9

    Yes, Chapter 22 covers partial and multiple regression.

  • Q10
    Does this book include solved examples?
    A10

    Yes, it contains numerous solved problems for better understanding.

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