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# Statistics: Continuous Methods

Download Presentation ## Statistics: Continuous Methods

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1. Statistics: Continuous Methods STAT 452/652 Fall 2008 Lecture 3: Central Limit Effect (slides only contain intro)

2. Normal distribution

3. Normal distribution

4. Normal distribution 68% 95% 99.7%

5. Central Limit Effect

6. Summing random variables B A A+B

7. Summing random variables A, B, C, D A+B A+B+C+D A+B+C

8. Summing random variables Generally, summation changes the shape of the distribution: number of possible values, spread, mean, etc. There is no simple way to tell what is the distribution of A+B if we know A and B (that is, you HAVE to do some integration and stuff) ... and what about A+B+C+...+Z? We need a miracle to cope with this...

9. Central Limit Effect 2 summands

10. Central Limit Effect 3 summands

11. Central Limit Effect 4 summands

12. Central Limit Effect 5 summands

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14. Central Limit Effect 7 summands

15. Central Limit Effect 8 summands

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19. Central Limit Effect 30 summands

20. Central Limit Effect 40 summands

21. Central Limit Effect 50 summands

22. Central Limit Effect 100 summands

23. Central Limit Effect 1000 summands Normal distribution