The word 
 tells you to use the General Mulitplication Rule.

The General Multiplication Rule in probability is a way to find the probability of two events happening together. It is used when you're dealing with dependent events (where one event affects the probability of the other) or independent events (where one event does not affect the other).

The rule is given by:

\[
P(A \cap B) = P(A) \cdot P(B | A)
\]

Where:
- \(P(A \cap B)\) is the probability that both event \(A\) and event \(B\) happen.
- \(P(A)\) is the probability that event \(A\) happens.
- \(P(B | A)\) is the probability that event \(B\) happens, given that event \(A\) has already occurred.

This rule is used when calculating the joint probability of two events when they might be dependent on each other.

Would you like more details on how to apply this rule in specific cases?

Here are five follow-up questions you might find useful:

1. What is the difference between dependent and independent events in probability?
2. Can you apply the General Multiplication Rule to independent events? If so, how?
3. How does the General Multiplication Rule differ from the Addition Rule in probability?
4. What are some real-life examples where the General Multiplication Rule is useful?
5. How would the rule change if you had more than two events?

**Tip**: Always check if the events are dependent or independent, as this can change the form of the multiplication rule you use.

The word tells you to use the General Multiplication Rule.

This page explains the General Multiplication Rule, used to find the probability of two events occurring together. Learn how the rule applies to dependent and independent events with the formula P(A ∩ B) = P(A) · P(B | A). Suitable for high school students in Grades 9-12.

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