A basic experimental probability definition!

Are you interested in learning a simple and easy to understand experimental probability definition? Well then you should know that it is the term that is used in order to denote the ratio of the number of times that an event takes places and the total number of trials that are made to reach the outcome. Experimental probability is additionally used in order to refer to the possibility that an even will take place in cases where an experiment is being carried out.

What is the experimental probability formula that I need to use?

In order to define the experimental probability formula, let us start out by assuming a random experiment, of which A is the outcome or an event that is to take place. Now, if we are to calculate the experimental probability that the event A is going to take place, here is the formula that you need to use:

P (A) = Number of times that the event take place / Total number of trials made

In order to understand the formula in a much better manner, it is highly recommended for you to go through a few experimental probability problems. This way, you would be able to apply the formula, and understand the calculations to be made in a very easy to understand manner. 

A look into a few experimental probability examples


Going through
examples of experimental probability is highly recommended for you to gain a better insight into its formula and calculation. Here are a few experimental probability examples that are sure to help you out a great deal in this regard:

1. A dice is rolled 6000 times, and amidst all of these rolls, the number 5 occurs a full 990 times. What is the probability that the number 5 would show up on the dice?

The answer to this example is very simple. The number of times that 5 appears on the dice is 990, whereas the total number of trials is 6000. As per the formula, it would be:

990/6000 = 0.165

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