1 Definition and general view of statistics and organization and presentation of statistical data 2 Measures of central tendency (Mean, Median, Mode) of the simple data / and the frequency distribution 3 Measures of dispersion (The Range – The Variance and the standard / deviation - Coefficient of variation) of the simple data and the frequency / Distribution 4 Moments and Measure of Skewness and Kurtosis 5 Correlation measures and Simple Linear regression 6 Sample space and Events 7 Counting Techniques (Fundamental basics, Addition Rule – Multiplication Rule- Permutation and Combinations) 8 Definition of the probability and its applications 9 Conditional probability - Independence of events and Bayes theorem and its applications
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