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Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences

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- First lecture is on Thursday, 26 September 2013.

Location: MS 4000A.

Day/time: TR 09:30- 10:45.

See you then!

For the course syllabus click here.
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Useful links:

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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.

Probability and Statistics EBook.

Download R and packages.
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Read this:

Numbers matter (text file).

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Labs

Lab 1: Lab based on the beeswax paper. Due on Monday, 07 October before 23:59.

Lab 2: Introduction to R. Due on Friday, 11 October before 23:59.

Lab 3: North Carolina SIDS data. Due on Friday, 18 October before 23:59.

Lab 4: Breast cancer mortality data and asbestos fibers data. Due on Monday,
21 October before 23:59.

Asbestos paper (see lab 4).

Lab 5: Dice experiment: Due on Friday, 01 November before 23:59.

Lab 5: Monty Hall experiment: Due on Friday, 01 November
before 23:59.

Lab 5: Birthday experiment: Due on Friday, 01 November
before 23:59.

Lab 6: Geometric, Binomial, Hypergeometric probability distributions using SOCR.
Due on Friday, 08 November before 23:59.

Lab 6 (examples 2 and 3 only): Some examples on probability
distributions using SOCR: Due on Friday, 08 November before 23:59.

R commands for some of the questions of lab 6: By Siavash Jalal.

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Handouts

1. Measures of central tendency and
variation.

2. Empirical cumulative distribution function - example.

3. Survival analysis - example.

4. Survival analysis - R commands.

5. Introduction to R.

6. Introduction to regression
analysis.

7. Leverage values and outliers in regression - example.

8. Influential analysis - example.

9. Influential analysis - R commands for handouts 7 and 8.

10. Regression - practice questions.

11. Introduction to stock market portfolio
analysis.

12. Probability.

13. Poker combinations and probabilities.

14. Discrete random variables (introduction).

15. Joint distributions - example.

16. Discrete probability distributions.

17. Answers to practice problems
of handout #16, pages 11-12.

18. Normal distribution.

19. Linear combinations of normal random variables.

20. Exam 2 practice problems I.

21. Exam 2 practice problems II.

22. Exam 2 practice problems III.

23. Exam 2 - practice problems.

24. Central limit theorem (distribution of the
sample mean and the sample proportion).

25. Central limit theorem - examples.

26. Confidence intervals.

27. Confidence intervals - answers to sample problems.

28. Hypothesis testing.

29. Article related to the paired-t test.

30. Testing for two population means.

31. Analysis of variance (ANOVA).

32. Contingency tables.

33. ANOVA example.

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Homework

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Homework 1: Due on Wednesday, 09 October.

Homework 2: Due on Wednesday, 16 October.

Homework 3: Due on Thursday, 24 October.

Homework 4: Due on Thursday, 07 November.

Homework 5: Due on Wednesday, 20 November.

Homework 6: Due on Thursday, 21 November.

Homework 7: Due on Tuesday, 03 December.

Homework 8: Due on Wednesday, 04 December.

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Back to the Statistics Department
Home page.

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01, 2007