Experimental probability helps us guess what might happen in real life by collecting data from actual experiments. Here’s a simple way to understand it:

1. Do Experiments: Let’s say you want to know the chances of it raining tomorrow. You can look at the weather over a few weeks.

2. Gather Information: Count how many days it rained compared to the total number of days. For example, if it rained 12 times out of 30 days, we can find the experimental probability of rain like this:

   $P(\text{rain}) = \frac{\text{Number of rainy days}}{\text{Total days}} = \frac{12}{30} = 0.4$

3. Make Predictions: Now you can say there’s a 40% chance of rain based on your findings. This helps you decide if you should take an umbrella!