A basic experimental probability definition!
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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