Business Mathematics and Statistics (Algebra, Geometry and Business Statistics)Ram Krishna Ghosh and Suranjan Saha(NCBA).

Name: Business Mathematics and Statistics (Algebra, Geometry and Business Statistics)Ram Krishna Ghosh and Suranjan Saha(NCBA). - Booksbp.com
SKU: 9788173819759
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SKU: 9788173819759

📊 Module I: Business Mathematics:-

This segment focuses on the algebraic and algorithmic principles needed to analyze commercial operations, manage financial computations, and model optimization problems.

Permutations and Combinations: Grouping, sequencing, and arrangement principles used to determine strategic combinations in operational management.
Logarithms: Rules of logarithmic operations, indices, and their application to complex financial scaling. []
Elements of Set Theory: Venn diagrams, union/intersection properties, and building mathematical logic for market research. []
Binomial Theorem: Expansion formulas used in probabilistic modeling and quantitative expansions. []
Compound Interest and Compounding: Mathematical formulas for computing periodic multi-frequency compound interest rates on business capital.
Annuities and Sinking Funds: Present value, future value, amortizations, and calculation frameworks for investment planning or debt retrieval.

📈 Module II: Business Statistics:-

This segment covers the systemic collection, presentation, and analysis of numerical business inputs to aid corporate decision-making and forecasting.

Introduction to Statistics: Methods for raw data collection, classification, tabulation, and visual presentation using frequency distributions.
Measures of Central Tendency: Mathematical calculations for Mean, Median, Mode, Geometric Mean, and Harmonic Mean.
Measures of Dispersion & Skewness: Range, Quartile Deviation, Mean Deviation, Standard Deviation, and assessing asymmetrical variations in market data.
Correlation and Regression Analysis: Evaluating bivariate relationships, finding Pearson’s coefficient, and establishing trend forecasting lines.
Time Series Analysis: Deconstructing trend shifts, seasonal movements, cyclical elements, and fitting linear models.
Index Numbers: Principles of building price and quantity indices, weighted aggregate formulas, and purchasing power adjustments.