Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences
For the course syllabus click here.
- First lecture is on Tuesday, 05 January 2016
Location: MS 4000A.
Day/time: TR 11:00 - 12:15.
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).
0. Introduction to R.
1. Lab 1 - Due on Wednesday, 20 January,
1a. Solutions to lab 1.
2. Lab 2: Using ecdf. Please read the paper on
beeswax (next link). Due on Wednesday, 27 January, by 22:00.
2a. Lab 2 is based on this paper.
2aa. Solutions to lab 2.
3. Lab 3: North Carolina SIDS data. Due on
Friday, 29 January, by 22:00.
3a. Solutions to lab 3.
4. Lab 4: Breast cancer mortality
data and asbestos fibers data. Due on Monday, 01 February, by 22:00.
4a. Lab 4 is based on this paper.
5. Lab 5: Normal and binomial
distributions. Due on Wednesday, 10 February, by 22:00.
1. "Statistics in the courtroom", by George Cobb and
2. Article for
an example of a controlled experiment.
3. Example: Comparing samples.
4. Article for exmaple in #3.
5. Article on simple regression analysis.
6. Measures of central tendency and
7. Introduction to regression
8. Compare variability around sample mean of y with variability
around the fitted line.
9. Permutation test in simple regression - R commands.
10. Leverage values and outliers in regression - example.
11. Influential analysis - example.
12. Influential analysis - R commands for handouts 10 and 11.
13. Regression - practice questions.
13a. Practice questions - solutions.
14. Practice exam.
14a. Practice exam - solutions.
15. Practice exam. Only problems 1 and 3.
16. Discrete random variables (introduction).
17. Binomial and Poisson distributions - summary.
18. Normal distribution.
19. Linear combinations of normal random variables.
20. Central limit theorem (distribution of the
sample mean and the sample proportion).
21. Central limit theorem - examples.
Homework 1: Due on Wednesday, 20 January.
Homework 1a: Solutions to homework 1.
Homework 2: Due on Wednesday, 27 January.
Homework 2a: Solutions to homework 2.
Homework 3: Due on Monday, 08 February.
Homework 4: Due on Thursday, 11 February.
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