Biology 611: Biometry Home Page

Lecture notes

Lecture notes are availible as slides or as pdf documents deposited in this directory. Direct links are below:

Lectures

• Syllabus , Introduction , Introduction to data , Introduction to R
• Descriptive statistics
• Begin probability distributions ; continuous probability distributions
• Hypothesis testing I
• Hypothesis testing II
• Power
• ANOVA I
• Experimental design
• ANOVA II
• non-parametric
• non-parametric cont
• posthoc tests
• ANOVA models (nested)
• Regression
• Regression cont
• Regression cont
• Fitting distributions
• Homegrown application of ML estimation
• Combining continuous and discrete independent variables
• Analyzing count data
• Resampling approaches
• MultivariateI: Ordination

Labs

1. Intro to R
2. Describe data
3. Probability and pdfs
4. Begin hypothesis testing
5. power
6. intro anova
7. continue anova
8. non-parametric
9. what do you do after ANOVA?
10. nested models
11. intro to regression
12. regression cont.
13. Maximum likelihood
14. regression cont.
15. Frequencies
16. Resample
17. Clustering

Assignments

During the semester, assignments can be found in this section

Problem sets

• Problem set 1 ; Solutions
• Problem set 2 Solutions
• Problem set 3

Exams

• Exam 2

Presentation information

Datasets

Datasets used in class can be found here .

Source

Scripts used in lecture and lab can be found here

Useful links

This section contains links that you may find useful:

• R homepage
• SimpleR
• StatSoft.com
• CRAN
• Tinn-R , an editor for R code