Statistics

This sub-wiki collects all entries that relate explicitly to statistical analyses.

WORK IN PROGRESS

An Introduction to the role of Statistics

• Why statistics matters
• A word on ethics and statistics
• ...

R Coding examples

• Likert Scale
• further R examples...

ALTERNATIVELY implement the "initial path to statistical analyses" here

The following is a list of all Statistics entries (to be updated with more categories?) + to be updated in terms of double entries

  A matter of probability

  A/B Testing

  An initial path towards statistical analysis

  Ancova

  ANOVA

  Apply, Lapply and Tapply

  Back of the envelope statistics

  Barplots, Histograms and Boxplots

  Bayesian Inference

  Bias in statistics

  Bootstrap Method

  Bubble Plots

  Case studies and Natural experiments

  Causality

  Causality and correlation

  Causality and correlation (German)

  Chord Diagram

  Clustering Methods

  Correlation Plots

  Correlations

  Cronbach's Alpha

  Data distribution

  Data formats

  Data formats (German)

  Descriptive statistics

  Designing studies

  Dummy variables

  Ethics and Statistics

  Experiments

  Experiments and Hypothesis Testing

  Experiments and Hypothesis Testing (German)

  Field experiments

  Generalized Linear Models

  Heatmap

  How long do you store data?

  Introduction to statistical figures

  Kernel density plot

  Likert Scale

  Limitations of Statistics

  Machine Learning

  Markdown

  Mathematics of the t-Test

  Mixed Effect Models

  Non-equilibrium dynamics

  Partial Correlation

  Pie Charts

  Price Determinants of Airbnb Accommodations

  Principal Component Analysis

  Regression Analysis

  Sankey Diagrams

  Simple Statistical Tests

  Social Network Analysis

  Stacked Area Plot

  Stacked Barplots

  Statistics and mixed methods

  T-Test

  The future of statistics?

  The great statistics recap

  The tao of R-coding

  Treemap

  Venn Diagram

  Why statistics matters

  Wordcloud