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Q: What does fair means in probability?

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From a probability perspective fair means equal probability.

If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032

If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.

unfair (?)

When a fair die is thrown the probability that a prime number will occur is 2:1

Related questions

From a probability perspective fair means equal probability.

If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032If they are fair dice, the probability is 0.0032

If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.If it is a fair coin, the probability is 1/4.

If a fair die is thrown often enough, the probability is 1.For the first three throws of a fair die, the probability is 1/216.If a fair die is thrown often enough, the probability is 1.For the first three throws of a fair die, the probability is 1/216.If a fair die is thrown often enough, the probability is 1.For the first three throws of a fair die, the probability is 1/216.If a fair die is thrown often enough, the probability is 1.For the first three throws of a fair die, the probability is 1/216.

A probability is fair if there is no bias in any of the possible outcomes. Said another way, all of the possible outcomes in a fair distribution have an equal probability.

unfair (?)

When a fair die is thrown the probability that a prime number will occur is 2:1

Since it is a fair coin, the probability is 0.5

It means multiply, Probaility of A and B means probability of A multiplied by probability of B.

If they are fair coins, the probability is 0.25

With a single roll of a fair die, the probability is 1/3.

The probability is 1/2.

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