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Statistics 100A: Introduction to Probability Theory

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- First lecture is on Monday, 03 August 2015.

Location: MS 4000A.

Day/time: MW 10:00 - 11:50.

See you then!

For the course syllabus click
here.
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Useful links:

For some of the labs you will need to access the Statistics Online Computational Resource (SOCR) at:
http://www.socr.ucla.edu

#### It's online, therefore it exists!

The labs are listed under the following link (instructions will be given as to which lab is due when etc. - mainly distributions and experiments activities):

http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials

Download R and packages.
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Labs

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Handouts

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1. Introduction to combinatorics.

2. Probability.

3. Practice exam.

4. Practice exam.

5. Practice exam.

6. Practice exam.

7. Discrete random variables.

8. Discrete random variables examples - solutions.

9. Discrete probability distributions.

10. Solutions to some problems of handout #2 (probability).

11. Solutions to some problems of handout #9 (discrete probabiltiy distributions).

12. Continuous probability
distributions.

13. Poisson, Exponential, and Gamma distributions.

14. Normal distribution.

15. Distributions - summary.

16. Moment generating functions.

17. Practice exam - solutions.

18. Joint probability distributions.

19. Covariance and correlation.

20. Portfolio theory - example using R.

21. Central limit theorem - proof.

22. Central limit theorem - summary.

23. Central limit theorem - examples.

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Homework

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Homework 1: Due on Monday, 10 August.

Homework 2: Due on Wednesday, 12 August.

Homework 3: Due on Wednesday, 19 August.

Homework 4: Due on Monday, 24 August.

Homework 5: Due on Monday, 31 August.

Homework 6: Due on Wednesday, 09 September.

Homework 7: Due on Wednesday, 09 September.

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Back to the Statistics Department
Home page.

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