Math and Arithmetic

Statistics

Probability

The probability you'd get heads is still one half.

1/2 apex It does not matter what each prior flip's result was. Each flip has a probability of 0.5 heads or tails. Coins do not have "memory".

The probability of 'heads' on any flip is 50% .

http://wiki.answers.com/Q/If_you_Flip_four_coins_at_once_what_is_probability_of_2_head_and_3_tail" The probability of flipping four coins and getting 2 heads and 3 tails is ZERO 2 heads and 3 tails requires flipping FIVE coins.

The probability that a single coin flip will come up heads is 0.5.

The probability of the coin flip being heads or tails is 100%.

The probability on the first flip is 50% .The probability on the 2nd flip is 50% .The probability on the 3rd flip is 50% .The probability on the 4th flip is 50% .The probability of 4 heads is (50% x 50% x 50% x 50%) = (0.5)4 = 1/16 = 6.25%

The probability of getting at least one tail in a flip of six coins is the same as the probability of not getting all heads, which is 1 - (0.56), or 0.984375.

There are two sides to the coin, so the probability of getting heads or tails on one flip of the coin is 1/2 or 50%.

Each time you flip a coin, the probability of getting either heads or tails is 50%.

Because you are thinking permutations rather than combinations. There are four permutations of two coins, but there are only three combinations, because it does not matter which coin is heads and which coin is tails. As a result, the combination of heads and tails has a 0.5 probability, while two heads or two tails each have a 0.25 probability.

There are four outcomes possible (not considering order)HHHHHTHTTTTTOnly in two of the cases are there two or more headsThe probability is 0.5

The probability is 2/4 or 4/8 or 1/2. The reason is that if you have 4 identical coins and you flip all of them at once you have half a chance because you could either get all heads, all tails, or a combination.

If it is a fair coin then the probability is 0.5

The probability of getting only one tails is (1/2)7. With seven permutations of which flip is the tails, this gives a probability of: P(six heads in seven flips) = 7*(1/2)7 = 7/128

The possible outcomes are: hhh hht hth thh htt tht tth ttt If you mean exactly 2 heads (and not 3 heads), then you can see 3 out of 8 possibilities have exactly 2 heads. So the probability is 3/8 or 0.375 If you mean at least 2 heads (2 or 3 heads), then 4/8 or 0.5.

Expirimental probability is when you use an expiriment to find the probability of a certain predicament. For example: Let's say you flip a coin 10 times. Before you flip you guess that you flip 5 heads and 5 tails or 1/2 heads and 1/2 tails. You guess this because one side is heads and the other side is tails so its an even risk. This is theoretical probability. When you actually do flip the coins you get, lets say, 8 heads and 2 tails. This would make your expirimental probability 4/5 heads and 1/5 tails. That is because you based the evidence on an expiriment rather than a guess. The longer the expiriment is, the more accurate your evidence will be.

Do a binomial expansion of (T + H)400. Evaluate the 221st term for H= 1/2 and T = 1/2 and you have the answer. There is some short cut to get that term quickly, but I've forgotten it.

If it is a fair coin, the probability is exactly 50%. The coin has no memory of what it did in the last flip. ■

If you know that two of the four are already heads, then all you need to find isthe probability of exactly one heads in the last two flips.Number of possible outcomes of one flip of one coin = 2Number of possible outcomes in two flips = 4Number of the four outcomes that include a single heads = 2.Probability of a single heads in the last two flips = 2/4 = 50%.

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.

The probability of getting a heads on the first flip is 1/2. Similarly, the probability on each subsequent flip is 1/2, since they are independent events. The probability of several independent events happening together is the product of their individual probabilities.

Flip a coin 1000 times, counting the number of 'heads' that occur. The relative frequency probability of 'heads' for that coin (aka the empirical probability) would be the count of heads divided by 1000. Please see the link.

This is a probability question. Probabilities are calculated with this simple equation: Chances of Success / [Chances of Success + Chances of Failure (or Total Chances)] If I flip a coin, there is one chance that it will land on heads and one chance it will land on tails. If success = landing on heads, then: Chances of Success = 1 Chances of Failure = 1 Total Chances = 2 Thus the probability that a coin will land on heads on one flip is 1/2 = .5 = 50 percent. (Note that probability can never be higher than 100 percent. If you get greater than 100 you did the problem incorrectly) Your question is unclear whether you mean the probability that a coin will land on head on any of 8 flips or all of 8 flips. To calculate either you could write out all the possible outcomes of the flips (for example: heads-heads-tails-tails-heads-tails-heads-heads) but that would take forvever. Luckily, because the outcome of one coin flip does not affect the next flip you can calculate the total probability my multiplying the probabilities of each individual outcome. For example: Probability That All 8 Flips Are Heads = Prob. Flip 1 is Heads * Prob. Flip 2 is Heads * Prob. Flip 3 is Heads...and so on Since we know that the probability of getting heads on any one flips is .5: Probability That All 8 Flips Are Heads = .5 * .5 * .5 * .5 * .5 * .5 * .5 * .5 (or .58) Probability That All 8 Flips Are Heads = .00391 or .391 percent. The probability that you will flip a heads on any of flips is similar, but instead of thinking about what is the possiblity of success, it is easier to approach it in another way. The is only one case where you will not a heads on any coin toss. That is if every outcome was tails. The probability of that occurring is the same as the probability of getting a heads on every toss because the probability of getting a heads or tails on any one toss is 50 percent. (If this does not make sense redo the problem above with tails instead of heads and see if your answer changes.) However this is the probability of FAILURE not success. This is where another probability formula comes into play: Probability of Success + Probability of Failure = 1 We know the probability of failure in this case is .00391 so: Probability of Success + .00391 = 1 Probability of Success = .9961 or 99.61 percent. Therefore, the probability of flipping a heads at least once during 8 coin flips is 99.61 percent. The probability of flipping a heads every time during 8 coin flips is .391 percent.

Because the probability of heads is 0.5 and the probability of tails is 0.5. That does not mean, however, that you will get exactly 500 of each outcome in 1000 trials. The more trials you perform, the closer to the theoretical probability you will get. You will be close with 1000 trials, but you will not be exact, unless you are very lucky.

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