Honey Descriptive & Inferential Statistics for Economists BS/M.Sc with Solved Papers
Honey Descriptive & Inferential Statistics for Economists BS/M.Sc with Solved Papers
Honey Descriptive & Inferential Statistics for Economists for M.A/M.Sc. & BS Economics with Solved Papers by Javed Iqbal Rana is a comprehensive textbook designed specifically for economics students at undergraduate and postgraduate levels. Published by Honey Books, this guide provides a thorough understanding of statistical methods and their practical applications in economic analysis. Multan Kitab Ghar
Honey Descriptive & Inferential Statistics
Key Features
✔ Comprehensive coverage of descriptive and inferential statistics for economists
✔ Data collection, presentation and graphical methods
✔ Measures of central tendency, dispersion, skewness and kurtosis
✔ Probability theory and probability distributions
✔ Sampling techniques and sampling distributions
✔ Estimation theory and hypothesis testing
✔ Correlation and regression analysis
✔ Time series analysis and index numbers
✔ Solved past papers with detailed explanations
✔ Chapter-end practice problems and exercises
✔ Aligned with HEC curriculum for BS/M.Sc Economics
✔ Practical applications in economic analysis
✔ Ideal for university exams and competitive tests
Topics Covered
Descriptive Statistics:
✔ Introduction to Statistics and Data Types
✔ Data Collection and Presentation (Tables, Graphs)
✔ Measures of Central Tendency (Mean, Median, Mode)
✔ Measures of Dispersion (Range, Variance, Standard Deviation)
✔ Skewness and Kurtosis
✔ Index Numbers and Their Applications
Inferential Statistics:
✔ Probability Theory and Basic Concepts
✔ Random Variables and Probability Distributions
✔ Binomial, Poisson and Normal Distributions
✔ Sampling Techniques and Sampling Distributions
✔ Estimation Theory: Point and Interval Estimation
✔ Hypothesis Testing: Parametric and Non-parametric Tests
✔ Chi-Square Distribution and Goodness of Fit
✔ Correlation Analysis: Pearson and Spearman
✔ Simple and Multiple Regression Analysis
✔ Time Series Analysis: Components and Forecasting
✔ Statistical Software Applications in Economics
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