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Statistics for Economists For MA 1st and 2nd Semester Panjab University Chandigarh

by Madhurima
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23 Customer Review

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  • Q1
    Does this book cover both the mathematics and statistics portions of the Panjab University MA Economics Quantitative Methods syllabus?
    A1

    Yes, it is a comprehensive resource that covers all mathematical tools (like Differentiation, Integration, Matrices, Linear Programming) and statistical concepts (Probability, Inference, Regression) as per the unified syllabus for MAECO-103 and MAECO-203.

  • Q2
    Are the advanced statistical tables (Z, t, F, Chi-square) required for the exam included in this book?
    A2

    Yes, the book contains a dedicated section titled "Advanced Statistical Tables" at the end, which includes all the necessary tables mandated by the Panjab University exam instructions.

  • Q3
    Is the chapter on Linear Programming covered in a way that helps solve problems by both the Graphical and Simplex methods?
    A3

    Absolutely. The book details the formulation of Linear Programming Problems (LPP) and provides step-by-step solutions using both the Graphical Method and the Simplex Method, including interpretation of the Dual problem.

  • Q4
    How does the book handle the topic of Regression Analysis? Does it go beyond simple regression?
    A4

    The book covers Multiple Regression Analysis with up to two explanatory variables, including interpretation of coefficients, R², and Adjusted R², along with an appendix note on R², which is crucial for the syllabus.

  • Q5
    I struggle with applying calculus in economics. Does this book help with concepts like Consumer's Surplus and Optimization?
    A5

    Yes, it has specific sections on the "Application of Derivatives" for optimization (cost, revenue) and elasticity, and "Application of Integration" for calculating Consumer's and Producer's Surplus, directly linking calculus to economic problems.

  • Q6
    Are Differential and Difference Equations, which are part of Semester II, explained with economic examples?
    A6

    Yes, the book provides an introduction to these equations, their solutions, and dedicated sections on "Economic Applications" concerning demand, revenue, cost functions, and simple market equilibrium models.

  • Q7
    Does the book include the derivation of mean and variance for probability distributions like Binomial and Poisson?
    A7

    Yes, the chapters on Binomial, Poisson, and Normal distributions explicitly cover their properties, including the derivation of mean and variance, as required by the syllabus.

  • Q8
    Is the section on Estimation Theory detailed enough to cover both point and interval estimation?
    A8

    Yes, Chapter 14 on Estimation Theory covers concepts of estimators, their properties (unbiasedness, consistency, etc.), and details Interval Estimation and Confidence Intervals for various parameters like mean and proportion.

  • Q9
    Is the Lagrange’s method for constrained optimization covered under the Differentiation unit?
    A9

    Yes, the book covers Constrained Optimization using Lagrange’s method under the Differentiation topic in Unit-I of the Semester I syllabus.

  • Q10
    How is the Analysis of Variance (ANOVA) chapter structured? Does it cover one-way and two-way classifications?
    A10

    The dedicated ANOVA chapter covers applications for both one-way and two-way classifications, aligning perfectly with the syllabus requirements for Unit-IV of Semester II.

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Have Doubts Regarding This Product ? Ask Your Question

  • Q1
    Does this book cover both the mathematics and statistics portions of the Panjab University MA Economics Quantitative Methods syllabus?
    A1

    Yes, it is a comprehensive resource that covers all mathematical tools (like Differentiation, Integration, Matrices, Linear Programming) and statistical concepts (Probability, Inference, Regression) as per the unified syllabus for MAECO-103 and MAECO-203.

  • Q2
    Are the advanced statistical tables (Z, t, F, Chi-square) required for the exam included in this book?
    A2

    Yes, the book contains a dedicated section titled "Advanced Statistical Tables" at the end, which includes all the necessary tables mandated by the Panjab University exam instructions.

  • Q3
    Is the chapter on Linear Programming covered in a way that helps solve problems by both the Graphical and Simplex methods?
    A3

    Absolutely. The book details the formulation of Linear Programming Problems (LPP) and provides step-by-step solutions using both the Graphical Method and the Simplex Method, including interpretation of the Dual problem.

  • Q4
    How does the book handle the topic of Regression Analysis? Does it go beyond simple regression?
    A4

    The book covers Multiple Regression Analysis with up to two explanatory variables, including interpretation of coefficients, R², and Adjusted R², along with an appendix note on R², which is crucial for the syllabus.

  • Q5
    I struggle with applying calculus in economics. Does this book help with concepts like Consumer's Surplus and Optimization?
    A5

    Yes, it has specific sections on the "Application of Derivatives" for optimization (cost, revenue) and elasticity, and "Application of Integration" for calculating Consumer's and Producer's Surplus, directly linking calculus to economic problems.

  • Q6
    Are Differential and Difference Equations, which are part of Semester II, explained with economic examples?
    A6

    Yes, the book provides an introduction to these equations, their solutions, and dedicated sections on "Economic Applications" concerning demand, revenue, cost functions, and simple market equilibrium models.

  • Q7
    Does the book include the derivation of mean and variance for probability distributions like Binomial and Poisson?
    A7

    Yes, the chapters on Binomial, Poisson, and Normal distributions explicitly cover their properties, including the derivation of mean and variance, as required by the syllabus.

  • Q8
    Is the section on Estimation Theory detailed enough to cover both point and interval estimation?
    A8

    Yes, Chapter 14 on Estimation Theory covers concepts of estimators, their properties (unbiasedness, consistency, etc.), and details Interval Estimation and Confidence Intervals for various parameters like mean and proportion.

  • Q9
    Is the Lagrange’s method for constrained optimization covered under the Differentiation unit?
    A9

    Yes, the book covers Constrained Optimization using Lagrange’s method under the Differentiation topic in Unit-I of the Semester I syllabus.

  • Q10
    How is the Analysis of Variance (ANOVA) chapter structured? Does it cover one-way and two-way classifications?
    A10

    The dedicated ANOVA chapter covers applications for both one-way and two-way classifications, aligning perfectly with the syllabus requirements for Unit-IV of Semester II.

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