Lab · c12.s03.L1
The law of large numbers
A running average settles near the mean, and the typical gap shrinks like sigma over the square root of the number of draws.
Question: Why does an average settle down?
Frame 1 of 13: Before the first drawThe axes are ready: 4000 draws on a logarithmic scale, the running average on the vertical axis, and a reference line at the mean 0.5. The shaded funnel is the typical gap sigma over the square root of n; for the fair coin sd is 0.5.
Before the first draw. The axes are ready: 4000 draws on a logarithmic scale, the running average on the vertical axis, and a reference line at the mean 0.5. The shaded funnel is the typical gap sigma over the square root of n; for the fair coin sd is 0.5.
Keyboard: Space plays or pauses, Left and Right step, Home goes to the first frame, End goes to the last frame.
Text description of this lab
Four runs, told apart by dash pattern and marker, plot the running average of independent coin flips and then of die rolls against a logarithmic axis of draws. Each path starts jagged and far from the true mean, marked by a horizontal reference line, then flattens onto it as the number of draws grows. Behind the paths a shaded funnel narrows steadily like sigma over the square root of n, so four times the draws halve its width.
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Caption status: re-simulated. Every lab declares one of published, re-simulated, schematic, synthetic or interpolated.