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Answered 2017-08-30 10:40:14

Since it is a certainty that a coin must land on either heads or tails, the probability must be 1.

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What is the chance of it landing on heads twice in a row?


The probability of 2 coins both landing on heads or both landing on tails is 1/2 because there are 4 possible outcomes. Head, head. Head, tails. Tails, tails. Tails, heads. Tails, heads is different from heads, tails for reasons I am unsure of.


The probability of a fair coin landing on heads or tails is even, i.e. 50/50.


Experimental probability is calculated by taking the data produced from a performed experiment and calculating probability from that data. An example would be flipping a coin. The theoretical probability of landing on heads is 50%, .5 or 1/2, as is the theoretical probability of landing on tails. If during an experiment, however, a coin is flipped 100 times and lands on heads 60 times and tails 40 times, the experimental probability for this experiment for landing on heads is 60%, .6 or 6/10. The experimental probability of landing on tails would be 40%, .4, or 6/10.


The experimental probability of a coin landing on heads is 7/ 12. if the coin landed on tails 30 timefind the number of tosses?


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


There is no difference in sound landing heads or tails.


The probability is 0%. The result will be heads or it will be tails but it cannot be heads and tails.


Coin landing of heads = 1/2 (either heads or tails) Dice landing on even number = 1/2 (no matter how many faces there are on the dice unless the number of faces is odd, 6 sided=3 even sides/6)


There are 8 possible outcomes when a coin is tossed 3 times. Here they are:1. Heads, Heads, Tails.2. Heads, Tails, Heads.3. Tails, Heads, Heads.4. Heads, Heads, Heads.5. Tails, Tails, Heads.6. Tails, Heads, Tails.7. Heads, Tails, Tails.8. Tails, Tails, Tails.There is only one outcome that is heads, heads, heads, so the probability of three heads coming up in three coin tosses is 1 in 8 or 0.125 for that probability.


The side heads is slightly heavier giving it a greater likely hood of landing on tails.


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


Your question is slightly vague, so I will pose a more defined question: What is the probability of 3 coin tosses resulting in heads exactly twice? This is a pretty easy question to answer. The three possible (winning) outcomes are: 1. Heads, Heads, Tails. 2. Heads, Tails, Heads. 3. Tails, Heads, Heads. If we look at the possible combination of other (losing) outcomes, we can easily determine the probability: 4. Heads, Heads, Heads. 5. Tails, Tails, Heads. 6. Tails, Heads, Tails. 7. Heads, Tails, Tails. 8. Tails, Tails, Tails. This means that to throw heads twice in 3 flips, we have a 3 in 8 chance. This is because there are 3 winning possibilities out of a total of 8 winning and losing possibilities.


Every time you flip a coin it has a 50% probability that it will land on either heads or tails. You would expect to get heads about half the time and tails about half the time. What actually happens could be different from what is expected. You could get heads every time, or tails every time. Or you could get tails 75% of the time and heads 25% of the time. however, your results appear to be what you would expect, approximately 50% heads and 50% tails. You got 16 heads and 14 tails. Your percentage of heads is 16/30 x 100= 53.33... %. Your percentage of tails is 14/30 x 100 = 46.66... %.


That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.That there is the same chance of something happening as there is of something else happening. When tossing a coin, there is the same chance it will land on heads as there is that it will land on tails. So landing on heads and landing on tails are equally probable.


The probability of a fair coin landing on tails is 0.5. The probability of 4 tails is .5*5*.5*.5 = 0.0625.


If you mean what is the probability of getting a heads/tails, it is a 1 in 2 chance (50/50 chance). You are just as likely to get a heads as you are to get a tails.


The probability of one event or the other occurring is the probability of one plus the probability of the other. The probability of getting 3 heads is the probability of 3 heads (1/23) multiplied by the probability of 4 tails (1/24) multiplied by the number of possible ways this could happen. This is 7c3 or 35. Thus the probability of 3 heads is 0.2734375. The probability of 2 tails is the probability of 2 tails (1/22) multiplied by the probability of 5 heads (1/25) multiplied by the number of ways this could happen. That is 7c5 or 21. Thus the probability of 2 tails is 0.1640625 The probability of one or the other is the sum of their probabilities: 0.1640625 + 0.2734375 = 0.4375 Thus the probability of getting 3 heads or 2 tails is 0.4375.


The probability of a flipped coin landing heads or tails will always be 50% either way, no matter how many times you flip it.


The probability of heads is 0.5 or 1/2. This is wrong, the chances of a penny landing heads up is less than 0.5 because the cast in Lincoln's head weighs more than the tails side of the peeny.


two events are mutually exclusive if they cannot occur at the same time. The classic example is a coin toss where you have either heads or tails, but there is NO WAY to have heads and tails at the same time. Heads and tails are mutually exclusive.


When dealing with probability there is a range of values of the probability of an event. The probability of an event (E) is any number (fraction or decimal) between zero and one. (0≤ P(E)≤1)When an event is certain to occur the probability of E is 1. This means that there is 100% that something will happen. This is why your sum of all the probabilities must add up to equal 1.For example: Flip a coin. You have a 50% chance of it landing on heads and a 50% chance of it landing on tails since there are only two possibilities.Let H=headsLet T=tails∑P= P(H)+P(T)=0.5+0.5=1This is telling you, you have a 100% chance of it landing on either heads or tails.If the event cannot happen the event contains no members in the sample space so its probability is zero.For example: Roll a single die one time. Find the probability of rolling a 7:This cannot happen so the probability is zero.


The probability of getting all heads is 1/24 = 1/16 The probability of getting all tails is also 1/24 = 1/16 The probability of all heads or all tails is the sum of the two = 1/8



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.



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