Definitions
Probability

# What is an example of experimental probability?

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Experimental Probability: The number of times the outcome occurs compared to the total number of trials.

example: number of favorable outcomes over total number of trials.

Amelynn is flipping a coin. She finished the task one time, then did it again. Here are her results: heads: three times and tails: seven times. What is the experimental probability of the coin landing on heads?

Explanation: Amelynn flipped the coin a total of 10 times, getting heads 3 times. Therefore, the answer is: 3/10.

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## Related Questions It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability. 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. It is experimental or empirical probability.It is experimental or empirical probability.It is experimental or empirical probability.It is experimental or empirical probability. yes. for example role a 6 sided die, will you get a 7? never. the experimental and theoretical probability is 0 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. Mathematical probability is how many times something is projected to occur, where as experimental probability is how many times it actually occurred. For example, when discussing the probability of a coin landing heads side up... Mathematical probability is 1:2. However, if you actually carryout an experiment flipping the coin 5 times the Experimental probability may be 2:5 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. Take for example, flipping a coin. Theoretically, if I flip it, there is a 50% chance that I flip a head and a a 50% chance that I flip a tail. That would lead us to believe that out of 100 flips, there should theoretically be 50 heads and 50 tails. But if you actually try this out, this may not be the case. What you actually get, say 46 heads and 54 tails, is the experimental probability. Thus, experimental probability differs from theoretical probability by the actual results. Where theoretical probability cannot change, experimental probability can. 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.   Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.  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.  Experimental probability is what actually happens in the real world. For example, if you played a game 60 times where you flip a coin and heads scores a point, theoretically you should get 30 points, right? Well, experimental probability is the actual results. In fact, your experimental probability for that game could even be 45 points scored in 60 tries. just remember: theoretical=in a perfect math world; experimental=real world results. 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...

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