Master Complete Statistics For Computer Science - I || Free Certification Course

Why this certification course

  • 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

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