Section 1: MATHEMATICAL MODELS IN PROBABILITY AND STATISTICS
-Basic Mathematical Modelling
Section 2: REPRESENTATION AND SUMMARY OF DATA
-Representation Of Data
-Measures Of Location
-Measures Of Dispertion
-Skewness. Concepts Of Outliers
Section 3: PROBABILITY
-Elementary Probability
-Sample Space
-Independence Of 2 Events
-Sum And Product Laws
Section 4: CORRELATION AND REGRESSION
-Scatter Diagrams. Linear Regression
-Explanatory And Response Variables
-The Product Moment Correlation Coefficient
Section 5: DISCRETE RANDOM VARIABLES
-Probability Function & Cumulative Distribution Function
-Mean And Variance
-The Discrete Uniform Distribution
Section 6: THE NORMAL DISTRIBUTION
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