In probability, we can group events into different types. This helps us understand how probability works better. Let’s look at some of these types:

1. Simple Events:
   A simple event is when there is only one outcome.
   For example, rolling a 3 on a die is a simple event.
   To find the probability of a simple event, we use this formula:
   $P(E) = \frac{\text{Number of successful outcomes}}{\text{Total number of outcomes}}$

2. Compound Events:
   These events happen when two or more simple events occur together.
   An example is rolling a die and flipping a coin at the same time.
   To find the probability of compound events, we can use addition or multiplication rules.

3. Independent Events:
   Independent events are when one event does not change the chances of another event happening.
   An example is flipping a coin and rolling a die together.
   For two independent events, $A$ and $B$, the probability is found using this formula:
   $P(A \text{ and } B) = P(A) \times P(B)$

4. Dependent Events:
   Dependent events are when one event affects the outcome of another.
   For example, if you draw cards from a deck without putting them back, the results change.

Knowing these types of events is important. It helps us calculate probabilities correctly and make better choices based on what the statistics tell us.