To understand the difference between independent and dependent events, we can look at some simple probability rules.

1. Independent Events:

• Independent events don't affect each other.
• For example, think about tossing a coin and rolling a die.
• To find the chance of both happening, we use this formula:
  ( P(A \text{ and } B) = P(A) \times P(B) )

2. Dependent Events:

• In dependent events, the result of one event does affect the other.
• For example, if you take a card from a deck and don’t put it back, it changes things for the next draw.
• We calculate the probability like this:
  ( P(A \text{ and } B) = P(A) \times P(B|A) )

Knowing these rules makes it easier to understand how events relate to each other!