1 | Introduction to statistics and basic concepts of Statistics? Why we need Statistics? How Long Has Statistics Been A Part Of Our Lives? Where Can We Access Statistical Data? How Can We manage data? |
2 | Measures of central tendency: Concepts and properties such as arithmetic mean, weighted moving average, geometric mean, mode, median |
3 | able to calculate of Central tendency in grade Data such as arithmetic mean, weighted moving average, geometric mean, mode, median and their properties |
4 | Measures of central variability: Deviation, Mean deviation, Absolute Deviation and Standard deviation, Variance |
5 | Measures of Central Variability in grade Data: Deviation, Mean Deviation, Absolute Deviation and Standard Deviation, Variance, Covariance |
6 | Correlation Analysis 1: Spearman, Pearson, Kendall.... |
7 | Correlation Analysis 2: Spearman, Pearson, Kendall.... |
8 | Asymmetry measures: Skewness and Kurtosis The Bowley skewness, Pearson's Skewness Coefficients, |
9 | Moment Generating Function and its properties: Calculation of kurtosis and skew coefficients by using moments. |
10 | Introduction to Probability:Introduction to Probability Theory and Basic Rules of Probability |
11 | Probability problems |
12 | Conditional probabilities, Bayes' theorem |
13 | Random variables, Expected value, Probability distributions |
14 | Continuous Random Variable and Sample Applications |