Ï kid you not, statistics are now the sexiest subject on the planet"

-Hans Rosling, 2010

- Syllabus (EVSS624) , Syllabus (BIOL611) , Introduction , Introduction to data , Introduction to R
- Reproducible research
- Descriptive statistics
- Probability distributions
- Comparing data to Poisson distributions
- Fitting distributions
- Intro to hypothesis testing
- Hypothesis testing using support
- Power
- ANOVA I
- ANOVA II
- Likelihood/Support in the context of ANOVA
- Experimental design
- Unbalanced data (short foray)
- non-parametric
- posthoc tests
- ANOVA models (nested)
- Regression
- Regression cont
- Regression cont
- Combining continuous and discrete independent variables
- Some comments on graphs
- Homegrown application of ML estimation
- Relaxing some of the assumptions of linear models
- Regression cont
- Regression compared to anova
- Assumption of equal variance in groups
- Resampling approaches
- Analyzing count data
- MultivariateI: Ordination

- Intro to R
- Describe data
- Probability and pdfs
- Maximum likelihood
- Begin hypothesis testing
- power
- intro anova
- continue anova
- non-parametric
- what do you do after ANOVA?
- nested models
- Statapult
- intro to regression
- regression cont.
- regression cont.
- Analysis of Covariance
- Maximum likelihood regression
- glm: logistic regression
- Unequal variance
- Resample
- Frequencies
- Multivariate lab

- Sources of software
- R homepage
- CRAN
- rstudio.org: an R frontend

- Help resources
- StatSoft.com
- R Markdown tutorial
- Intro statistics
- QuickR
- R spatial analysis
- Assess color blindness effects on your slides
- bibliographic tools

- Online presentations
- Random jokes and links

File translated from T