BCOM108 Business Statistics GGSIPU B.COM 2nd Sem Notes

Unit 1 [Book]  
Nature and Classification of Data: Univariate, Bivariate and Multivariate data VIEW
Time-Series data VIEW
Cross-sectional VIEW
Measures of Central Tendency VIEW
Concept and properties of Mathematical Averages  
Arithmetic Mean VIEW
Geometric Mean VIEW
Harmonic Mean VIEW
Positional Averages including Mode and Median (and other partition values; Quartiles, Deciles, and Percentiles) with graphic presentation VIEW
Measures of Dispersion: Absolute And Relative VIEW
Range VIEW
Quartile Deviation VIEW
Mean Deviation VIEW
Standard Deviation and their Coefficients VIEW
Properties of Standard Deviation/Variance VIEW
Moments Calculation and Significance VIEW
Skewness Meaning and Measurement VIEW
Karl Pearson and Bowley’s measures VIEW
Kurtosis VIEW
Unit 2 [Book]  
Probability VIEW
Probability Distributions, Theory and approaches of probability VIEW
Probability Theorems Addition and Multiplication VIEW
Conditional probability VIEW
Bayes’ Theorem VIEW
Expectation and Variance of a Random Variable Business Applications VIEW
Probability Distributions:  
Binomial distribution, Binomial Probability Distribution Function, Constants, Shape, Fitting of Binomial Distribution VIEW
Poisson Distribution, Probability function (including Poisson approximation to binomial distribution), Constants, Fitting of Poisson distribution VIEW
Normal distribution, Properties of Normal curve and computation of Probabilities and applications VIEW
Unit 3 [Book]  
Correlation Analysis Meaning VIEW
Types of Correlation VIEW
Correlation Vs. Causation VIEW
Pearson’s coefficient of correlation: computation and properties VIEW
Probable and Standard Errors VIEW
Rank correlation VIEW
Regression Analysis VIEW
Principle of cast squares and Regression bones VIEW
Regression Equations and estimation VIEW
Properties of Regression coefficients VIEW
Relationships between Correlation and Regression coefficients VIEW
Standard Error of Estimate VIEW
Unit 4 [Book]  
Index Number and Time Series Analysis, Meaning and uses of index numbers VIEW
Construction of Index numbers, Fixed and Chain Base, Univariate and Composite VIEW
Tests of Adequacy of Index Numbers VIEW
Base Shifting, Splicing and Deflating VIEW
Time Series Data, Additive and Multiplicative models VIEW
Components of Time Series VIEW
Trend Analysis, Fitting of Trend Line using principle of Least Squares; linear, Second Degree Parabola and exponential VIEW
Shifting of Origin and Conversion of Annual Linear Trend Equation to quarterly/Monthly Basis And Vice-Versa VIEW

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