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Contents
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1 Welcome to Sustainability Methods!
- 1.1 Day 1 - Intro
- 1.2 Day 2 - Data formats based on R
- 1.3 Day 3 - Simple tests
- 1.4 Day 4 - Correlation and regression
- 1.5 Day 5 - Correlation and regression
- 1.6 Day 6 - Designing studies Pt. 1
- 1.7 Day 7 - Designing studies Pt. 2
- 1.8 Day 8 - Types of experiments
- 1.9 Day 9 - Statistics from the Faculty
- 1.10 Day 10 - Statistics down the road
- 1.11 Day 11 - The big recap
- 1.12 Day 12 - Models
- 1.13 Day 13 - Ethics and norms of statistics
- 2 Admin Tools
Welcome to Sustainability Methods!
Day 1 - Intro
- Do models and statistics matter? Why does it pay to be literate in statistics and R?
- Getting concepts clear: Generalisation, Sample, and Bias
- - See also, misunderstood concepts
- History of statistics
Day 2 - Data formats based on R
- Continuous vs. categorical, and subsets
- Normal distribution
- Poisson, binomial, Pareto
Day 3 - Simple tests
Day 4 - Correlation and regression
- Correlations and regressions
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Causality
- - See also, misunderstood concepts
- Is the world linear?
- Transformation
Day 5 - Correlation and regression
Day 6 - Designing studies Pt. 1
- How do I compare more than two groups?
- Designing experiments - degrees of freedom
- One way and two way
Day 7 - Designing studies Pt. 2
- Balanced vs. unbalanced designs - Welcome to the Jungle
- Block effects
- Interaction and reduction
Day 8 - Types of experiments
- Are all laboratory experiment really made in labs?
- Are all field experiment really made in fields?
- What are natural experiments?
Day 9 - Statistics from the Faculty
Day 10 - Statistics down the road
- Multivariate Statistics
- AIC
Day 11 - The big recap
- Distribution & simple test
- Correlation and regression
- - See also, misunderstood concepts
- Analysis of Variance
Day 12 - Models
- Are models wrong?
- Are models causal?
- Are models useful?
Day 13 - Ethics and norms of statistics
- What is informed consent?
- How does a board of ethics work?
- How long do you store data?
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