Section outline

    • Preliminaries

      • Introduction to Statistics

      • Basic Vocabulary (Population, Individual, Variable, Modalities)

      • Types of Variables (Qualitative and Quantitative)

      • Statistical Tables and Graphical Representations

    • Numerical Representation of Data

      • Frequencies and Cumulative Frequencies

      • Relative Frequencies

      • Graphical Representation of Discrete and Continuous Variables

      • Measures of Central Tendency (Mean, Median, Mode, Quartiles)

      • Measures of Dispersion (Range, Variance, Standard Deviation)

      • Distribution Function

    • Combinatorial Analysis

      • Fundamental Counting Principles

      • Arrangements (with and without repetition)

      • Permutations (with and without repetition)

      • Combinations

      • Applications to Probability

    • Probability Theory

      • Random Experiment and Events

      • Operations on Events

      • Axiomatic Definition of Probability

      • Bayes’ Theorem