when you toss a coin three times, the total number of possible outcomes is
Not really. The theory(that if you have some process that can come out in multiple ways, then, over a long period of tests, the results will be about even if each of the possible outcomes has an equal chance of occurrence isn't literal. If you do flip the coin many more times, then the results will gravitate towards an even amount of occurrences, although it is unlikely for to be split perfectly evenly.
well according to my coin book, its worth approximatly 1,298$ its a very rare coin. collectors long for that specific coin
Usually. A coin in Proof condition is almost always more valuable than the same coin in Uncirculated condition, but exceptions do exist.
The probability that a flipped coin has a probability of 0.5 is theoretical in that it assumes the existence of a perfect coin. The same can be said of the probabilities of the spots appearing on a single tossed die which requires the existence of a perfect die. Here's an example. Consider tossing a coin twice to see what comes up. It could be tail, head, or head tail, or tail, tail or head, head. The theoretical probability of two heads is one in four. In general, theoretical probability is the ratio of the number of times a possible outcome can occur in a given event to the number of times that event occurs.
50/50
6/16
This is a binomial probability distribution The probability of exactly 2 heads in 50 coin tosses of a fair coin is 1.08801856E-12. If you want to solve this for how many times 50 coin tosses it would take to equal 1 time for it to occur, take the reciprocal, which yields you would have to make 9.191019648E11 tosses of 50 times to get exactly 2 heads (this number is 919,101,964,800 or 919 billion times). If you assume 5 min for 50 tosses and 24 hr/day tossing the coin, it would take 8,743,360 years. That is the statistical analysis. As an engineer, looking at the above analysis, I would say it is almost impossible flipping the coin 50 times to get exactly 2 heads or I would not expect 2 heads on 50 coin tosses. So, to answer your question specifically, I would say none.
This is a binomial probability distribution The probability of exactly 2 heads in 50 coin tosses of a fair coin is 1.08801856E-12. If you want to solve this for how many times 50 coin tosses it would take to equal 1 time for it to occur, take the reciprocal, which yields you would have to make 9.191019648E11 tosses of 50 times to get exactly 2 heads (this number is 919,101,964,800 or 919 billion times). If you assume 5 min for 50 tosses and 24 hr/day tossing the coin, it would take 8,743,360 years. That is the statistical analysis. As an engineer, looking at the above analysis, I would say it is almost impossible flipping the coin 50 times to get exactly 2 heads or I would not expect 2 heads on 50 coin tosses. So, to answer your question specifically, I would say none.
The probability of two tails on two tosses of a coin is 0.52, or 0.25.
The probability that a coin will land on heads - at least once - in six tosses is 0.9844
In 34 or fewer tosses, the answer is 0. In infinitely many tosses, the answer is 1. The answer depends on the number of tosses and, since you have chosen not to share that critical bit of information, i is not possible to give a more useful answer.
The probability of getting heads on three tosses of a coin is 0.125. Each head has a probability of 0.5. Since the events are sequentially unrelated, simply raise 0.5 to the power of the number of tosses (3) and get 0.125, or 1 in 8.
.5*.5*.5=1/8or.125
28 times out of 50 as a percent is achieved thus (28/50)*100 = 56% (The coin would appear to be biased by the way).
The number of total outcomes on 3 tosses for a coin is 2 3, or 8. Since only 1 outcome is H, H, H, the probability of heads on three consecutive tosses of a coin is 1/8.
It's an important principle or probability. The more coin tosses there are, the more chance there is for an expected outcome.