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Resources by Chris Wild
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Teaching Time Series in the Covid-affected Era
Adding spice to statistics with dynamic and interactive graphics
Probability distributions for teachers
Probability for teachers
Events occurring in time, the Poisson distribution, and Scampy
SCAMPY
Data to Insight: An Introduction to Data Analysis and Visualisation
Interactive Visualizations for Conditional Probability: Eikosograms and Pachinkograms
Pachinkogram
Videos: numeric-variables
Conceptual pathways: Experiments and the Randomisation Test
Video: Random error, Part I
Videos: Bad data
Video: Introduction to Relationships
Video: Comparing Groups
Resources for the “big ideas” behind Statistical reports
Video: Randomised Experiments [5:24]
Video: Randomisation Variation [6:01]
Video: Randomisation Test [7:45]
Video: Next Steps Experiments
TS Exercises for iNZight & iNZight Lite
Videos: Random error – the motivation for inference [7 min, 6 min]
Video: Towards Confidence Intervals [5 min]
Video: Confidence Intervals from Bootstrap Resampling [8 min]
Video: Do Bootstrap Confidence Intervals work? [6 min]
Article: Confidence intervals – What matters most?
Animations for teaching bootstrapping and randomisation
Video: Relationships Between Numeric Variables [5 min]
Video: Trend, scatter and outliers [6:42]
Video: More about Relationships [1:32]
Video: Lines, curves and smoothers [4 min]
Videos: Some next steps [relationships]
Video: Introducing Time Series Data [4:38]
Videos: Seasonal Decomposition and Forecasting [6 min + 5 min]
Video: Comparing Series [ 4 min]
Caught in the path of the data deluge
