Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences
For the course syllabus click here.
- First lecture is on Thursday, 26 September 2013.
Location: MS 4000A.
Day/time: TR 09:30- 10:45.
See you then!
For some of the labs you will need to access the Statistics Online Computational Resource (SOCR) at:
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):
Probability and Statistics EBook.
Download R and packages.
Numbers matter (text file).
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
Lab 5: Birthday experiment: Due on Friday, 01 November
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.
1. Measures of central tendency and
2. Empirical cumulative distribution function - example.
3. Survival analysis - example.
4. Survival analysis - R commands.
5. Introduction to R.
6. Introduction to regression
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
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.
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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