Y1 - Quantitative Methods I

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1. Statistics Lecture 4: Honour Among Thieves
2. Choosing a Probability Model
3. The Binomial Distribution
4. Binomial Probabilities
5. Cumulative Binomial Probabilities
6. Binomial Mean and Standard Deviation
7. The Negative Binomial Distribution
8. The Geometric Distribution
9. Discrete and Continuous Variables
10. The Normal Distribution
11. The 68 95 99.7 Percentage Rule
12. Standardisation and Z Scores
13. Normal Probabilities Between Two Limits
14. Reverse Normal Lookups
15. Normal Approximation to the Binomial
16. A Reliable Model Selection Strategy
17. Key Takeaways
18. Mathematics Lecture 4: Finding the Derivative
19. Derivative Rules Overview
20. Choosing the Correct Arithmetic Rule
21. The Product Rule
22. The Quotient Rule
23. The Chain Rule
24. Exponential Functions
25. Logarithmic Functions
26. Application Logistic Growth
27. Application Tangent Line
28. Derivative Strategy
29. Key Takeaways