Bachelor Statistics Lecture
From Sustainability Methods
Contents

1 Overview of the lecture structure
 1.1 Day 1  Why statistics matters
 1.2 Day 2  Data formats and descriptive stats
 1.3 Day 3  Data distribution and Probability
 1.4 Day 4  Hypothesis building and simple tests
 1.5 Day 5  Correlations
 1.6 Day 6  Regression
 1.7 Day 7  Design 1  Simple Anova OR the lab experiment
 1.8 Day 8  Design 2  Field experiments
 1.9 Day 9  Case studies and natural experiments
 1.10 Day 10  Bias
 1.11 Day 11  Statistics and mixed methods
 1.12 Day 12  A word on ethics
 1.13 Day 13  The Big recap
Overview of the lecture structure
Day 1  Why statistics matters
The Power of Statistics
Statistics as a part of science
A very short history of statistics
Key concepts of statistics
Day 2  Data formats and descriptive stats
Continuous data
Data constructs and indices
Descriptive statistics
Day 3  Data distribution and Probability
Normal distribution
Other distributions
Probability
Day 4  Hypothesis building and simple tests
Hypothesis testing
Confidence, uncertainty and reliability
Simple tests  a primer
Day 5  Correlations
Correlations on a shoestring
Reading correlation plots
Correlative relations
Day 6  Regression
Causality
Residuals
Significance in regressions
Is the world linear?
Interpolation and extrapolation
Day 7  Design 1  Simple Anova OR the lab experiment
The laboratory experiment
How do I compare more than two groups?
How to design a study
Day 8  Design 2  Field experiments
Day 9  Case studies and natural experiments
Day 10  Bias
Groundwork
Different biases
How to deal with biases?