The ChanceForge cast
Each friend shows you one idea by how they act. Meet them all and see how the ideas fit together.
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Tally the Counter-of-Outcomes Data collection + frequency counting (the foundational "what happened, how often?" move) -
Display the Picture-Maker Graphs and visual displays (bar charts, histograms, dot plots, line graphs — turning numbers into pictures) -
Center the Middle-Finder Central tendency — mean, median, mode (the "what's typical?" question) -
Sample the Estimator Sampling, sampling distributions, inference from sample to population -
Tree the Compound-Brancher Compound events and probability trees — multiplication rule for independent events, addition for disjoint, conditional dependencies -
Odds the Likelihood-Reader Basic probability — placing a chance on the 0-to-1 scale from impossible to certain -
Scatter the Spread-Reader Spread and variability — how far apart the data is (range), not just the middle -
Flipside the Other-Outcome-Counter The complement rule — find the chance it doesn't happen and subtract from 1 -
Clew the Clue-Follower Conditional probability — how chances change once you learn a new fact -
Evens the Long-Run-Settler Expected value and the long run — results settle toward the average over many tries