Udemy – Master Complete Statistics For Computer Science – I


Random Variables,Discrete Random Variables and its Probability Mass Function,Continuous Random Variables and its Probability Density Function,Cumulative Distribution Function and its properties and application,Special Distribution,Two – Dimensional Random Variables,Marginal Probability Distribution,Conditional Probability Distribution,Independent Random Variables,Function of One Random Variable,One Function of Two Random Variables,Two Functions of Two Random Variables,Statistical Averages,Measures of Central Tendency (Mean, Median, Mode, Geometric Mean and Harmonic Mean),Mathematical Expectations and Moments,Measures of Dispersion (Quartile Deviation, Mean Deviation, Standard Deviation and Variance),Skewness and Kurtosis,Expected Values of Two-Dimensional Random Variables,Linear Correlation,Correlation Coefficient and its properties,Rank Correlation Coefficient,Linear Regression,Equations of the Lines of Regression,Standard Error of Estimate of Y on X and of X on Y,Characteristic Function and Moment Generating Function,Bounds on Probabilities