Statistical regularity: Difference between revisions
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If we throw a thumbtack onto a table once, we would have a hard time predicting whether the point would touch the surface of the table or not. But if we repeat this experiment many times, we will see that the number of times the point touches the surface divided by the number of throws will eventually stablize at a specific value. |
If we throw a thumbtack onto a table once, we would have a hard time predicting whether the point would touch the surface of the table or not. But if we repeat this experiment many times, we will see that the number of times the point touches the surface divided by the number of throws will eventually stablize at a specific value. |
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Revision as of 10:19, 29 June 2001
If we throw a thumbtack onto a table once, we would have a hard time predicting whether the point would touch the surface of the table or not. But if we repeat this experiment many times, we will see that the number of times the point touches the surface divided by the number of throws will eventually stablize at a specific value.
Similar experiments with coins, dice, and roulette wheels reinforce the main idea. Repeating a series of trials will produce similar, but not identical, results for each series. This phenomenon is called statistical regularity.
The same idea occurs in Games of Chance, Demographic Statistics, Quality Control of a manufacturing process, and in many other parts of our lives.
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