Eight Tiny Experiments for Decision-Ready Stats

  1. Set the Gate  
    Write the one question your model must answer. If you’re listing pairwise comparisons, you need ANOVA or planned contrasts… not whack-a-mole.

  1. Define “Meaningful” Before “Significant”    
    Pick the smallest effect that would change a choice. If your margin doesn’t steer behavior, you’re measuring trivia.

  1. Visual Proof of Life    
    Plot distributions and intervals before testing. If the picture and the p-value disagree, fix the model, not the plot.

  1. Alpha With a Seatbelt  
    State alpha and the multiple-comparisons plan. If you test more, protect more. Curiosity needs guardrails.

  1. Size + Bounds  
    Always pair effect sizes with confidence intervals. Magnitude without uncertainty is marketing, not inference.

  1. Assumptions Are Design Choices  
    Independence, measurement, sampling… decide them up front. Assumptions unchecked become conclusions undone.

  1. Save the Recipe  
    Version the data, seed randomness, save code or output. Reproducible beats impressive.

  1. End With a Verb  
    Close every report with action: implement, pause, collect more. Numbers without verbs don’t change the world.

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