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I'm assuming you are asking what is the probability (P) of flipping a quarter.

This answer really depends upon how many times up are going to flip it.

If you are flipping it once, you have a 50% chance that it will land on heads and a 50% chance that it will land on tails. Either way the sum of your probabilities will add up to 1, meaning that there is a 100% chance that something will occur (see probability rules).

EX: Let H= heads and let T=tails

∑P= P(H)+P(T)=0.5+0.5=1

However, let's say you were going to flip a coin 3 times and were wanting to know what the probability of getting at least 1 tail was. You would approach the problem this way:

P( at least 1 tail)=?

Next, you want to find the compliment (the opposite of what you are starting with). So the opposite of getting one tail is getting no tails. This is the same as getting all heads.

P(no tails)=P(all heads)

P( all heads)= P(H)3 Heads is cubed because you are flipping the coin 3

= P(0.5)3 times and want all the outcomes to be heads.

= 1/8

By knowing that the outcome plus its compliment add up to equal 1 you get:

P( all heads) + P( at least 1 tail)=1

P( at least 1 tail) = 1- P( all heads)

P( at least 1 tail) = 1- 1/8

P( at least 1 tail) = 7/8

So the probability of flipping a coin 3 times and getting a least 1 tail is 7/8. In other words, it's very likely that it will land on tails one of those three times.

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Q: What is the probability of a quarter?

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There is the probability of 1/2 if it is a fair coin. There is the probability of 1 if it is a double-headed coin. There is the probability of 0 if it is a double-tailed coin.

The probability of getting a head first time is one out of two, or a half. The probability of getting a head the next time is still one out of two, so the combined probability is one quarter. Similarly, one eighth is the probability of getting three in a row; but the pattern does not end there, the probability of getting a tails the next time is STILL one in two, so that is a one in sixteen chance of that run, the probability of the entire sequence is therefore one in thirty-two.

The probability is 0.The probability is 0.The probability is 0.The probability is 0.

The probability is 1.The probability is 1.The probability is 1.The probability is 1.

For any event A, Probability (not A) = 1 - Probability(A)

Related questions

1/2 if the quarter is 'fair'.

The probability of flipping a quarter and getting heads is 1 in 2. the probability of rolling a die and getting 6 is 1 in 6.

There is the probability of 1/2 if it is a fair coin. There is the probability of 1 if it is a double-headed coin. There is the probability of 0 if it is a double-tailed coin.

1/3

A probability meter is a visual aid to communicate the meaning of probabilities. It is usually a white and black circles that can be rotated to show segments of the circle corresponding to the probability; e.g. a one quarter segment of the circle black represents a probability of 25%.

1/16 These are four independent events each with a 1/2 probability. The probability that all four occur (penny and nickels heads and dime and quarter tails) is: 1/2*1/2*1/2*1/2=(1/2)4=1/16.

In my case, close to 0, since I do not live in a country that has quarters. In countries that do have a coin that is called a quarter, the answer depends on the desire of people to flip coins.

1/4

Neither. Its a 50:50 probability. In the long run, heads will match tails.

(1/5)*(1/4) = 1/20 the odds of a quarter falling out, multiplied by the odds of a quarter falling out after a single quarter has fallen out

The probability of getting a head first time is one out of two, or a half. The probability of getting a head the next time is still one out of two, so the combined probability is one quarter. Similarly, one eighth is the probability of getting three in a row; but the pattern does not end there, the probability of getting a tails the next time is STILL one in two, so that is a one in sixteen chance of that run, the probability of the entire sequence is therefore one in thirty-two.

The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.

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