Y1 - Quantitative Methods I

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1. Statistics Lecture 3: Days Down Under
2. Why Probability Matters
3. The Frequentist View of Probability
4. Building a Probability Distribution
5. Unconditional Probability
6. The Complement Rule
7. Conditional Probability
8. The Product Rule for And
9. The Addition Rule for Or
10. Statistical Dependence
11. Statistical Independence
12. Disjoint Events
13. Tree Diagrams and Sequential Draws
14. When Replacement Barely Matters
15. Probability Distributions Revisited
16. Expected Value
17. Variance and Standard Deviation
18. A Reliable Problem Solving Strategy
19. Key Takeaways
20. Mathematics Lecture 3: The Derivative
21. Motivation: Does a Higher Price Increase Profit?
22. The Difference Quotient
23. Worked Example: Average Profit Change
24. From Average to Instantaneous Change
25. When a Derivative Does Not Exist
26. Computing the Derivative from the Definition
27. Basic Differentiation Rules
28. Marginal Profit and the Profit Maximum
29. Elasticity
30. Worked Example: Elasticity of Profit

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