Probability is an important idea that helps us understand how likely something is to happen. There are two main types of probability: theoretical probability and experimental probability.

1. Theoretical Probability: This type of probability is based on how likely something is to happen if everything goes perfectly. For example, if you flip a fair coin, there are two possible results: heads or tails. The theoretical probability of getting heads is 1 out of 2. We can write this as $P(H) = \frac{1}{2}$.

2. Experimental Probability: This type of probability comes from actually doing experiments. Let’s say you flip a coin 10 times, and you get heads 6 times. To find the experimental probability, you look at how many times you got heads out of the total flips. So, $P(H) = \frac{6}{10} = 0.6$.

In short, theoretical probability is about what we expect to happen in a perfect situation. On the other hand, experimental probability is based on real results from actual tests.