Outcome probability in Laplace experiments
Finding the exact probability of an outcome in a random experiment is difficult and involves lot's of repetitions and counting. However, if we make one further assumption about the experiment, we can determine the outcome probabilities on theoretical grounds - no repetition is required.
This assumption is that no outcome is preferred, or in probability speech, that all outcomes have the same probability to occur. Clearly, this is quite a restrictive assumption and is not true for most experiments. Still, for a few popular experiments this is quite a reasonable assumption to make, as for example
- A fair coin. The word fair implies that there is no preference for a side to occur, that is, after many repetitions we have .
- A fair die. Again, it is implied that after many repetitions each side of the die occurs with the same frequency, that is, .
- Selecting a ball at random from of box of balls. If we assume that each ball has the same chance to be selected, this is a Laplace Experiment. This is, for example, the case, if all balls have the same size, and selection is made blindly. If there are balls in the box, we have .
Here is the exact definition, and an important implication: A random experiment where all possible outcomes have the same probability to occur,
is called a Laplace experiment.
The probability for an outcome in a Laplace experiment is
Prove the above assertion that in a Laplace experiment with outcomes, the outcome probability is .
Solution
With follows , and thus .
Argue if the random experiment below are Laplace experiments. Always calculate the probability of the indicated outcome.
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You roll a fair die once, p(6)=?
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You roll a fair die twice, p(66)=?
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You flip a coin times, p(HHH)=?
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You select at random a letter from the word
MARK, p('A')=? -
You select at random a letter from the word
HALLO, p('L')=?
Solution
- Yes, , thus and
- Yes, because a die has no memory - if a 6 was thrown in the first roll, this has no effect on the second roll. , thus and
- Yes, because a coin has no memory. , thus and .
- Yes, because random selection implies that each position will in the long run be selected with the same percentage. So each letter will be selected with the same percentage. Thus and .
- No. Although each position is selected with the same percentage in the long-run, the will be selected more often than the other letters (as there are two 's in the word). Actually, we can still calculate the probability for selecting an : if each of the positions is selected times out of the repetitions, we have
Because there are two letters L, it is
A biased coin with is flipped twice. Is this a Laplace experiment? Argue.
Solution
No, if the experiment is repeated many times, the percentage of observed is much higher than the percentage of observing (because occurs more often than ). So not all outcome have the same probability to occur, so not a Laplace experiment.