Probability

# How do you calculate experimental probability?

###### Wiki User

Experimental probability is the number of times some particular outcome occurred divided by the number of trials conducted. For instance, if you threw a coin ten times and got heads seven times, you could say that the experimental probability of heads was 0.7.

Contrast this with theoretical probability, which is the (infinitely) long term probability that something will happen a certain way. The theoretical probability of throwing heads on a fair coin, for instance, is 0.5, but the experimental probability will only come close to that if you conduct a large number of trials.

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## Related Questions

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The difference between theoretical probability and experimental probability is that theoretical probability is more of a CHANCE, and experimental probability is when you actually TEST it.

Because it is the process of deriving probability through repeated experiments.

To find the experimental probability of an event you carry out an experiment or trial a very large number of times. The experimental probability is the proportion of these in which the event occurs.

Experimental probability is not something that needs to be, or even can be, answered. There may be particular instances in which there are questions about experimental probability and they can only be answered in the context on which they arose.

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.

The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling a 3 is 1 in 6, or about 0.1667, but the experimental probability changes every time you run the experiment

Theoretical probability is what should occur (what you think is going to occur) and experimental probability is what really occurs when you conduct an experiment.

As the number of times that the experiment is conducted increases, the experimental probability will near the theoretical probability - unless there is a problem with the theoretical model.

The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling an even number is 3 in 6, or 1 in 2, or 0.5, but the experimental probability changes every time you run the experiment.

Check out the related link to learn about the differences between experimental and theoretical probability.

experimental probability, is the ratio of the number favorable outcomes to...

Another name for experimental probability is empirical probability. This is the ratio of the number of outcomes in which a specified event occurs to the total number of trials.

Probability is generally split into theoretical and experimental.