1 | Definition of statistics |
2 | Basic terms, population, sample, variable |
3 | Tables and graphs |
4 | Measures of central tendency, mean, weighted mean |
5 | Geometric mean, harmonic mean, quadratic mean |
6 | Mode and median |
7 | Measures of variation (deviation, mean deviation, mean absolute deviation, standart deviation) |
8 | Variance and its properties, coefficient of variation |
9 | Measurement of Variability : Propertiies of variance and standart deviation and coefficient of variation |
10 | Moments, Skewness and Kurtosis Moments |
11 | Introduction to Probability Theory and Basic Rules of Probability |
12 | Probablity problem solving |
13 | Conditional probabilities, Bayes' theorem |
14 | Random variables, Expected value, Probability distributions |