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A biased probability is one where not every outcome has the same chance of occurring. A biased coin is one where one side, the "heads" or "tails" has a greater probability than the other of showing.

A coin which has a centre of gravity closer to the tails side than the heads side would be biased in that heads is more likely to show than tails.

The size of coin can have an effect on the probability of heads and tails - during the Royal Institute Christmas lectures in the 1990s demonstrating probability a large version of the pound coin was made to be able to allow the audience to see it being tossed - on the broadcast (and tape) version it landed and stayed on its edge! showing the probability of heads = tails ≠ ½; the probability of heads = probability of tails, but they are actually slightly less than ½ as the coin could land on its edge and stay there - with a standard size coin, if it lands on its edge it takes very little for the centre of gravity to shift outside the base of the edge and for the coin to fall over, but with a very large similar coin (ie one scaled up [proportionally] in lengths) it can take quite a bit before the centre of gravity goes outside the base if it lands on its edge which forces it to fall over (plus there will be a "significant" rise in the centre of gravity to do so, thus favouring stability on an edge which does not exist in the standard, small, sized version of the coin).

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9y ago
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9y ago

An UNBIASED coin is supposed to have a probability of 0.5 (50%) for either of the two possible results. A BIASED coin would be one that has any probability other than that.

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Q: What is a biased coin probability?
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Related questions

What is a biased coin in probability?

Probability of getting a head or tail is not equal


How do you find probability of a biased coin when P of getting head is .6?

The probability of heads is 0.6 and that of tails is 0.4. Since the probabilities are not 0.5, it is a biased coin. That is the answer!


If I were to flip a coin 4 times. What is the probability of me getting heads twice?

If the coin is not biased, the answer is 0.375


How do you find the probability on a biased coin of getting 3 heads out of 3 coin tosses when the probability of getting a head is 60 percent?

0.63 = 0.216


A coin is biased so that the probability a head comes up when it is flipped is 0.6 What is the expected number of heads that comes up when its flipped 10 times?

Multiply the probability by the number of times the experiment was carried out. 0.6x10=6


What is the probability of getting exactly three heads when you flip a coin four times?

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.


When you flip a coin what is the probability that it will come up tails?

the probability would be 50 to 50 chancesThere's generally a 50% chance it will come up tails, but some coins have heavier designs on one side, so these may be more biased to a head or a tail over the term.If it is a fair coin, then 0.5


A coin is flipped 60 times it lands on heads 36 times Do you think that the coin is biased?

yes the coin is biased because it turned to heads 36 times.


What is the probability of flipping heads on the coin?

The probability of flipping Heads on a coin is 1 - a certainty - if the coin is flipped often enough. On a single toss of a fair coin the probability is 1/2.


What is biased in math?

I'm guessing this is a probability question. A die (or coin, or spinner, or roulette wheel, or other method of choosing something randomly) is fair if each possibility (1,2,3,4,5,6) has an equal chance of coming up. Anything that isn't fair is biased. For example a die that has been weighted to make 6s come up is biased.


What is the probability that the next coin flip will come up heads?

If it is a fair coin then the probability is 0.5


What is the Probability that you toss a coin and it lands heads up?

If it is a fair coin, the probability is 1/2.