Using the multiplication rule, you can calculate the probability that events \(A\) and \(B\) occur jointly when you know the probability of event \(A\) and event \(B\) occurring separately.

## Related Topics

## Step by step guide to multiplication rule for probabilities

Before we go into the laws of probability, let’s define a few terms:

- If two events cannot happen at the same moment, they are
**mutually exclusive**or**discontinuous**.

- A
**conditional probability**is a likelihood that event \(A\) will occur if event \(B\) has already occurred. The symbol \(P(A|B)\) represents the conditional probability of event \(A\) given event \(B\). - An event’s
**complement**is the event that does not occur. \(P(A’)\) indicates the chance that event A will not occur. - The probability of both events \(A\) and \(B\) occurring is the probability of \(A\) and \(B\)
**intersecting**. The likelihood of events \(A\) and \(B\) intersecting is indicated by \(P(A∩ B)\). \(P(A∩ B) = 0\) if events \(A\) and \(B\) are mutually exclusive. - The probability that events \(A\) or \(B\) occur is the probability of the
**union**of \(A\) and \(B\). The probability of the union of events \(A\) and \(B\) is indicated by \(P(A ∪ B)\). - Events \(A\) and \(B\) are
**dependen**t if the occurrence of event \(A\) alters the likelihood of event \(B\). Events \(A\) and \(B\), on the other hand, are**independent**if the occurrence of event \(A\) does not affect the probability of event \(B\).

**Multiplication rule**

In probability theory, the law of multiplication states given that event \(A\) has occurred, the probability that events \(A\) and \(B\) will both occur is equal to the probability that event \(A\) will occur multiplied by the probability that event \(B\) will occur.

\(\color{blue}{P(A∩B)=P(B)⋅P(A|B)}\)

By shifting the roles of \(A\) and \(B\), we can also write the law:

\(\color{blue}{P(A∩B)=P(A)⋅P(B|A)}\)

The general multiplication rule is obtained by multiplying both sides of the definition of conditional probability by the denominator. That is, in the equation:

\(\color{blue}{ P(A|B) =\frac{P(A∩B)}{P(B)}}\)

The rule is useful when we know both \(P(A)\) and \(P(B|A)\) or both \(P(B)\) and \(P(A|B)\).

### Multiplication Rule for Probabilities – Example 1:

A jar contains \(5\) red marbles and \(4\) black marbles. Two marbles are pulled from the jar without replacement. What is the probability that both marbles are black?

If \(A =\) the event that the first marble is black; and if \(B =\) the event that the second marble is black. We know the following:

Initially, there are \(9\) marbles in the jar, \(4\) of which are black. Therefore, \(P(A)=\frac{4}{9}\).

After the first selection, there are \(8\) marbles in the jar, \(3\) of which are black. Therefore, \(P(B|A)=\frac{3}{8}\).

Then, use this formula: \(\color{blue}{P(A∩B)=P(A)⋅P(B|A)}\)

\( P(A∩B) = \frac{4}{9} \times \frac{3}{8} =\frac{4 \times 3 }{9 \times 8}=\frac{12}{72}=\frac{1}{6}\)

## Exercises for Multiplication Rule for Probabilities

A social swimming team has \(150\) members. Seventy-five members are advanced swimmers. Forty-seven members are intermediate swimmers. The rest of the swimmers are novices. Forty advanced swimmers practice three times a week. Thirty of the intermediate swimmers practice three times a week. Ten novice swimmers practice three times a week. Suppose a member of a swimming team is randomly selected.

- What is the probability that a member is a novice swimmer?
- What is the probability that a member exercises four times a week?
- What is the probability that the member is an advanced swimmer and practices three times a week?
- What is the probability that a member is an advanced swimmer and an intermediate swimmer?

- \(\color{blue}{\frac{28}{150}}\)
- \(\color{blue}{\frac{80}{150}}\)
- \(\color{blue}{\frac{40}{150}}\)
- \(\color{blue}{P=0}\)

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