• Statistics Scramble!

    Puzzle (PDF)


  • by Patricia McCann

    When it is clearly seen
    That the sample is extreme,
    Then p is small,
    Reject the null.

  • by Mariam Hermiz

    There's a hippopotamus.
    He's got a hypothesis.
    His null specifies a parameter,
    That he's still skinny, no change in his diameter.
    And if there is a change, that he's gotten fat from all those fries,
    Well that's his alternative, a deviation from his hypothesized size.
    Hoping for the best, he checks his p-value,
    The probability of having extreme data, if the null is true.
    Because his p-value is small, he comes to realize,
    He needs to reject his null, and start to exercise.
    But when he weighs himself, he soon comes to see,
    That there was a type 1 error and he really is skinny.
    His null was really true, but he had rejected it,
    Because his p-value was below threshold and therefore statistically significant.
    But was the change practically significant? He didn't think so.
    For a tonne-weighing hippopotamus, a 10 pound change is too low.
    So although weighing a tonne may not be skinny for me or you,
    The hippopotamus thought so and shouted "Yoohoo!"


  • by Nyaradzo Mvududu

    Chance explanation?
    The value is too extreme
    That's significant

  • by Nyaradzo Mvududu

    Dear Karl, thanks for correlation
    Even though it may not be causation
    Your one greatest hit
    Chi-square, that was it
    From "normal" we have liberation

  • By Christine Kohnen and Eric S. van Gyzen

    There was a young Student at Guinness
    Who studied a beer as his business
    His small sample sizes
    Were full of surprises
    With Fisher, the "t" he did finish