Difference between revisions of "Main Page"

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<strong>Day 1 - Intro</strong>
 
<strong>Day 1 - Intro</strong>
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1) Do models and statistics matter? Why does it pay to be literate in statistics and R?
 
1) Do models and statistics matter? Why does it pay to be literate in statistics and R?
 
2) Getting concepts clear: Generalisation, Sample, and Bias
 
2) Getting concepts clear: Generalisation, Sample, and Bias
 
3) History of statistics
 
3) History of statistics
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<strong>Day 2 - Data formats based on R</strong>
 
<strong>Day 2 - Data formats based on R</strong>

Revision as of 05:40, 4 September 2019

Welcome to Sustainability Methods!

Day 1 - Intro

1) Do models and statistics matter? Why does it pay to be literate in statistics and R? 2) Getting concepts clear: Generalisation, Sample, and Bias 3) History of statistics


Day 2 - Data formats based on R 4) Continuous vs. categorical, and subsets 5) Normal distribution 6) Poisson, binomial, Pareto

Day 3 - Simple tests 10) Parametric 11) Non-Parametric 12) Hypothesis testing

Day 4 - Correlation and regression 13) What can be correlated? 14) Are all correlations causal? 15) Is the world linear? Transformation.

Day 5 - Correlation and regression 19) P values vs. sample size 20) Residuals 21) Reading correlation plots

Day 6 - Designing studies 22) How do I compare more than two groups groups? 23) Designing experiments - degrees of freedom 24) One way and two way

Day 7 - Designing studies 25) Balanced vs. unbalanced - Welcome to the Jungle 26) Block effects 27) Interaction and reduction

Day 8 - Types of experiments 28) Are all laboratory experiment really made in labs? 29) Are all field experiment really made in fields? 30) What are natural experiments?

Day 9 - Statistics from the Faculty

Day 10 - Statistics down the road 31) Multivariate Statistics 32) AIC

Day 11 - The big recap 33) Distribution & simple test 34) Correlation and regression 35) Anova

Day 12 - models 36) Are models wrong? 37) Are models causal? 38) Are models useful?

Day 13 - Ethics and norms of statistics 31) What is informed consent? 32) How does a board of ethics work? 33) How long do you store data?


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Getting started