1 in 2
The probability is still 50%
The number of times a coin is tossed does not alter the probability of getting heads, which is 50% in every case, as long as the coin has not been rigged (i.e., a double-headed coin, a weighted coin) to alter the result.
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.
1/2 or 0.5
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.
If you roll a fair six-sided die 1000 times the die would come up even about 500 times. It will not be exactly 500 times, due to random probability, but it will be close. The more times you roll it, the ratio of even to odd will come closer and closer to the theoretical probability of 0.5.
In the context of the usage 1000%, it would be sure to happen. As far as probability is concerned, the probability of certain is 1 or 100%.
the probability is actually not quite even. It would actually land heads 495 out of 1000 times because the heads side is slightly heavier
The probability that 14 is rolled at least once is 1 - 5.5*10-32 which, for all intents and purposes, can be treated as 1.
50% It doesn't matter if you toss it 1 time or a million times. You address each toss as a probability on its own. Just the same as any old toss: 1/2
It means that the probability is calculated (or more precisely, estimated) based on experiment. For example, if a certain event occurs 70 times in 1000 tries, you can estimate the probability to be approximately 7%.
63000 of 1000