Randomness, Inference & Simulation - course bundle
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Monte Carlo seasons, bootstrap intervals, permutation tests, chi-square and Bayesian updating — how to tell signal from luck.

Run order:
 1. 62_monte_carlo_season_simulation.py  -  Monte Carlo: How Much Does Luck Move a Season's Record?
      https://sportsdatatutorials.com/tutorials/monte-carlo-season-simulation.html
 2. 64_bootstrap_confidence_intervals.py  -  Bootstrap a Confidence Interval: Is Home-Court Advantage Real or Luck?
      https://sportsdatatutorials.com/tutorials/bootstrap-confidence-intervals.html
 3. 68_permutation_test_significance.py  -  Is the Difference Real? A Permutation Test
      https://sportsdatatutorials.com/tutorials/permutation-test-significance.html
 4. 56_crosstab_contingency_tables.py  -  Crosstabs: Build a Contingency Table to Test Home Advantage
      https://sportsdatatutorials.com/tutorials/crosstab-contingency-tables.html
 5. 82_chi_square_shot_symmetry.py  -  The Chi-Square Test from Scratch: Is an NBA Floor Left-Right Symmetric?
      https://sportsdatatutorials.com/tutorials/chi-square-shot-symmetry.html
 6. 78_bayesian_updating_beta_binomial.py  -  Bayesian Updating: Learn a Win Probability Game by Game
      https://sportsdatatutorials.com/tutorials/bayesian-updating-beta-binomial.html

Every script runs from this folder as-is:  python <script>.py
The shared helpers and every sample CSV the scripts read are included,
so the whole course works offline.

Course page: https://sportsdatatutorials.com/tracks/inference-simulation.html
All datasets documented: https://sportsdatatutorials.com/datasets.html
