Understanding the difference between theoretical and experimental probability is super important for a few reasons:
Theory vs. Reality: Theoretical probability is like a math prediction. It tells us how often we expect something to happen. For example, when you roll a dice, the theoretical chance of getting a six is 1 out of 6.
Real-life testing: On the other hand, experimental probability is based on real tests. It shows us what actually happens when we try something many times.
By looking at both, we get a better understanding of what might happen!
Understanding the difference between theoretical and experimental probability is super important for a few reasons:
Theory vs. Reality: Theoretical probability is like a math prediction. It tells us how often we expect something to happen. For example, when you roll a dice, the theoretical chance of getting a six is 1 out of 6.
Real-life testing: On the other hand, experimental probability is based on real tests. It shows us what actually happens when we try something many times.
By looking at both, we get a better understanding of what might happen!