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When you have a model that describes the required situation well enough so that you can use scientific laws to calculate the probabilities of the outcomes of the experiment.

Q: When do you use theoretical probability?

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empirical probability is when you actually experiment with it and get data values, and theoretical probability is when you use math to make an educated guess.

statiticians

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.

Theoretical probability:Theoretical probability is when you decide what is the probability of something using the information that is given to you!

When there is a good theoretical model for the experiment and the model allows you to identify all the factors affecting the outcome and determine their impact on the outcome. Even if you cannot identify all the factors, you can still use theoretical probability but the predictions from your model will be less reliable. Econometrics is a good example of using theoretical probability based on an incomplete understanding of the model.

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empirical probability is when you actually experiment with it and get data values, and theoretical probability is when you use math to make an educated guess.

statiticians

No probability - theoretical or not - can be 100. Therefore no examples are possible.No probability - theoretical or not - can be 100. Therefore no examples are possible.No probability - theoretical or not - can be 100. Therefore no examples are possible.No probability - theoretical or not - can be 100. Therefore no examples are possible.

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.

When there is a good theoretical model for the experiment and the model allows you to identify all the factors affecting the outcome and determine their impact on the outcome. Even if you cannot identify all the factors, you can still use theoretical probability but the predictions from your model will be less reliable. Econometrics is a good example of using theoretical probability based on an incomplete understanding of the model.

Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.Provided that the correct model is used, the theoretical probability is correct. The experimental probability tends towards the theoretical value as the number of trials increases.

Theoretical probability:Theoretical probability is when you decide what is the probability of something using the information that is given to you!

Theoretical probability is the probability of an event when all outcomes are equally likely. With theoretical probability, you determine the probability by dividing the number of ways the event can occur by the total number of equally likely outcomes.

Theoretical probability- what the probability "should be" if all outcomes are equally likely.

In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)

theoretical

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.