Difference between revisions of "Main Page"
From Sustainability Methods
| Line 2: | Line 2: | ||
=== Day 1 - Intro === | === 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 | |
| − | + | # History of statistics | |
=== Day 2 - Data formats based on R === | === Day 2 - Data formats based on R === | ||
| − | + | # Continuous vs. categorical, and subsets | |
| − | + | # Normal distribution | |
| − | + | # Poisson, binomial, Pareto | |
=== Day 3 - Simple tests === | === Day 3 - Simple tests === | ||
| − | + | # Parametric | |
| − | + | # Non-Parametric | |
| − | + | # Hypothesis testing | |
| − | + | === Day 4 - Correlation and regression === | |
| − | + | # What can be correlated? | |
| − | + | # Are all correlations causal? | |
| − | + | # Is the world linear? | |
| + | # Transformation | ||
| − | + | === Day 5 - Correlation and regression === | |
| − | + | # P values vs. sample size | |
| − | + | # Residuals | |
| − | + | # Reading correlation plots | |
| − | + | === Day 6 - Designing studies === | |
| − | + | # How do I compare more than two groups groups? | |
| − | + | # Designing experiments - degrees of freedom | |
| − | + | # One way and two way | |
| − | + | === Day 7 - Designing studies === | |
| − | + | # Balanced vs. unbalanced - 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 | |
| − | + | # Anova | |
| − | + | === 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? | |
Revision as of 05:53, 4 September 2019
Contents
-
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
- 1.7 Day 7 - Designing studies
- 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 Getting started
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
- History of statistics
Day 2 - Data formats based on R
- Continuous vs. categorical, and subsets
- Normal distribution
- Poisson, binomial, Pareto
Day 3 - Simple tests
- Parametric
- Non-Parametric
- Hypothesis testing
Day 4 - Correlation and regression
- What can be correlated?
- Are all correlations causal?
- Is the world linear?
- Transformation
Day 5 - Correlation and regression
- P values vs. sample size
- Residuals
- Reading correlation plots
Day 6 - Designing studies
- How do I compare more than two groups groups?
- Designing experiments - degrees of freedom
- One way and two way
Day 7 - Designing studies
- Balanced vs. unbalanced - 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
- Anova
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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