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.
With 1000 rolls of a die, and each number having a probability of 1/6, I would not expect any peaks.
The probability is still 50%
1 in 2
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.
The answer is 1 in 1000.Rolling a 4 on a ten sided die is a 1 in 10 shot.Rolling threes 4's is 1/10 x 1/10 x 1/10 which equals 1/1000.
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.
There are two dice with 6 side each. The probability of any single unique outcome is 1/6 * 1/6 = 1/36 Now the question becomes how many ways can you roll a 7 using two dice. It might be easiest to just show this as a table: 1 6 2 5 3 4 4 3 5 2 6 1 So there are 6 ways to roll a 7 using two dice. That means the probability of rolling a 7 is 6/36 = 1/6. Finally, to answer the question, we will multiply the probability of success (getting 7) with the number of attempts (how many times you rolled the dice). This equals 1/6 * 1000 = 166.66... or in real-life terms: 167 (remember that in real life no-one has 2.5 children)
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
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