experimental probability
cant answer this question without more information....probability requires a ratio.
Theoretical probability is the probability of something occurring when the math is done out on paper or 'in theory' such as the chance of rolling a six sided dice and getting a 2 is 1/6. Experimental probability is what actually occurs during an experiment trying to determine the probability of something. If a six sided dice is rolled ten times and the results are as follows 5,2,6,2,5,3,1,4,6,1 then the probability of rolling a 2 is 1/3. The law of large numbers states the more a probability experiment is preformed the closer to the theoretical probability the results will be.
They are generally agreed to be theoretical and experimental probabilities. Probability is probability. The concept may be applied to any causal event which has more than one potential outcome.
The probability that is based on repeated trials of an experiment is called empirical or experimental probability. It is calculated by dividing the number of favorable outcomes by the total number of trials conducted. As more trials are performed, the empirical probability tends to converge to the theoretical probability.
experimental probability
You improve your model through a better understanding of the underlying processes. Although more trials will improve the accuracy of experimental probability they will make no difference to the theoretical probability.
Theoretical probability = 0.5 Experimental probability = 20% more = 0.6 In 50 tosses, that would imply 30 heads.
Probability becomes more accurate the more trials there are.
cant answer this question without more information....probability requires a ratio.
The difference between experimental probability and theoretical probability is that experimental probability is the probability determined in practice. Theoretical probability is the probability that should happen. For example, the theoretical probability of getting any single number on a number cube is one sixth. But maybe you roll it twice and get a four both times. That would be an example of experimental probability.
Theoretical probability is the probability of something occurring when the math is done out on paper or 'in theory' such as the chance of rolling a six sided dice and getting a 2 is 1/6. Experimental probability is what actually occurs during an experiment trying to determine the probability of something. If a six sided dice is rolled ten times and the results are as follows 5,2,6,2,5,3,1,4,6,1 then the probability of rolling a 2 is 1/3. The law of large numbers states the more a probability experiment is preformed the closer to the theoretical probability the results will be.
They are generally agreed to be theoretical and experimental probabilities. Probability is probability. The concept may be applied to any causal event which has more than one potential outcome.
The probability that is based on repeated trials of an experiment is called empirical or experimental probability. It is calculated by dividing the number of favorable outcomes by the total number of trials conducted. As more trials are performed, the empirical probability tends to converge to the theoretical probability.
The answer depends on what the "event" is. And since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.
Expirimental probability is when you use an expiriment to find the probability of a certain predicament. For example: Let's say you flip a coin 10 times. Before you flip you guess that you flip 5 heads and 5 tails or 1/2 heads and 1/2 tails. You guess this because one side is heads and the other side is tails so its an even risk. This is theoretical probability. When you actually do flip the coins you get, lets say, 8 heads and 2 tails. This would make your expirimental probability 4/5 heads and 1/5 tails. That is because you based the evidence on an expiriment rather than a guess. The longer the expiriment is, the more accurate your evidence will be.
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.