Probability & Statistics

201 - SN1 - RE

Week	Content to Read	Examples

1	Overview of Probability and Statistics	-
1	Presentation of Data	L1 Examples
2	Numerical Measures of Data (Central Tendency)	L2 Examples
3	Numerical Measures of Data (Dispersion)	L2 Examples
3	Numerical Measures of Data (Relative Standing)	L2 Examples on Relative Standing

4	Correlation & Regression	L3 Examples
5	Probability Theory	L4 Examples
6	Counting Techniques	L5 Examples
6-8	Rules of Probability	L6 Examples
8	Probability Mass Functions	L7 Examples
8	Expected Value & Standard Deviation of Discrete Random Variables	L8 Examples

9	The Binomial Distribution	L9 Examples
9-10	Continuous Random Variables & The Normal Distribution	L10 Examples
11	The Normal Approximation to the Binomial	L11 Examples
12	Sampling Distributions of the Mean & The Central Limit Theorem	L12 Examples
13	Confidence Intervals on the Mean; Population Variance Known	L13 Examples
13	Confidence Intervals on the Mean, Population Variance Unknown	L14 Examples
13	Confidence Intervals on the Proportion	L15 Examples
14	Hypothesis Tests on the Mean; Population Variance Known	L16 Examples
14	Hypothesis Tests on the Mean, Population Variance Unknown	L17 Examples
14	Hypothesis Tests on the Proportion	L18 Examples