Wiki User
∙ 15y agoProbability of not 8 heads = 1- Prob of 8 heads. Prob of 8 heads = 0.5^8 = 0.003906 Prob of not 8 heads= 1- 0.003906 = 0.99604
Wiki User
∙ 15y agoThat's the same as the total probability (1) minus the probability of seven heads. So: 1 - (1/2)7 = 127/128
The probability of flipping a heads is 1/2 and the probability of rolling a 6 is 1/6. By the laws of probability it would be logical to multiply them together, (1/2)(1/6) thus the answer being 1/12 with is roughly eight percent.
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.
The probability that a coin flipped four consecutive times will always land on heads is 1 in 16. Since the events are sequentially unrelated, take the probability of heads in 1 try, 0.5, and raise that to the power of 4... 1 in 24 = 1 in 16
Multiply the probability by the number of times the experiment was carried out. 0.6x10=6
That's the same as the total probability (1) minus the probability of seven heads. So: 1 - (1/2)7 = 127/128
One in eight, or 12.5%.
The probability is always 50/50 even if you flipped 100 or 1000000 coins.
The probability that 2 flipped coins both come up heads is 0.52 or 0.25
The sample space is HH, HT, TH, HH. Since the HH combination can occur once out of four times, the probability that if a coin is flipped twice the probability that both will be heads is 1/4 or 0.25.
Fifty percent (50%)
The answer depends on how many coins are flipped, and how often.
25%
The probability of flipping a heads is 1/2 and the probability of rolling a 6 is 1/6. By the laws of probability it would be logical to multiply them together, (1/2)(1/6) thus the answer being 1/12 with is roughly eight percent.
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.
It is neither. If you repeated sets of 8 tosses and compared the number of times you got 6 heads as opposed to other outcomes, it would comprise proper experimental probability.
An outcome is what actually happens, while the probability of that outcome is how likely that particular thing is to happen. Say I was flipping a coin. The probability of the outcome of heads is 1/2 because there are 2 possible outcomes and heads is only 1 of them. Then when I flip the coin, it lands on tails. The outcome is tails.