Geometric probability is a probability model. Under this model, all possible results of random experiments are infinite, and the probability of each basic result is the same.
For example, when a person arrives at the workplace, maybe at any time between eight and nine o'clock, a stone is thrown into a square, and the stone falls on any point of the square ... The results of these tests are infinite and belong to geometric probability. Whether a test is geometric probability depends on whether it has two characteristics of geometric probability-infinity and equal possibility, and only the probability with these two characteristics is geometric probability.
If the probability of each event is only proportional to the length of the event area (area or volume or degree), such a probability model is called geometric probability model, which is called geometric probability model for short.
For example, for a random experiment, we understand each basic event as randomly taking a point from a specific geometric area, and the probability of each point in this area is the same; The occurrence of random events is understood as just taking a point in a designated area within the above-mentioned area. The area here can be a line segment, a plane figure, a three-dimensional figure, etc. Dealing with random experiments in this way is called geometric probability.
Geometric probability is contrary to classical probability, which extends the concept of equal possible events from finite to infinite. This concept was introduced into junior high school mathematics in China.
The main difference between classical probability and geometric probability is that geometric probability is another kind of equal probability, and the difference between classical probability and classical probability is that the experimental results are infinite.
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