Learn on PengiSaxon Math, Course 3Chapter 7: Algebra

Lesson 68: Probability Multiplication Rule

New Concept This rule calculates the probability of multiple independent events occurring. If events A and B are independent, the probability of both happening is found by multiplying their individual probabilities.

Section 1

📘 Probability Multiplication Rule

New Concept

This rule calculates the probability of multiple independent events occurring. If events A and B are independent, the probability of both happening is found by multiplying their individual probabilities.

Multiplication Rule for Probability
> If events A and B are independent, then
>

P(A and B)=P(A)⋅P(B)P(\text{A and B}) = P(\text{A}) \cdot P(\text{B})

What’s next

This is just the foundation for compound probability. Next, you’ll master this rule by working through examples with dice, coins, and spinners to see it in action.

Section 2

Fundamental Counting Principle

Property

If an experiment has two parts, with mm outcomes for the first and nn for the second, the total number of outcomes is mâ‹…nm \cdot n.

Examples

  • Flipping 3 coins: 2â‹…2â‹…2=82 \cdot 2 \cdot 2 = 8 total outcomes.
  • Choosing 1 of 5 main dishes and 1 of 3 desserts: 5â‹…3=155 \cdot 3 = 15 possible meals.

Explanation

Need to find all possible combos for a multi-step event? Forget drawing a giant tree diagram! Just multiply the number of choices for each step to get your total. It’s a super-fast shortcut for counting all your options.

Section 3

Independent Events

Property

Two events are independent if the occurrence of one does not change the probability of the other. The outcome of one event does not influence the other at all.

Examples

  • A coin landing on heads and a number cube rolling a 4.
  • Drawing a card from a deck, putting it back, and drawing a second card.

Explanation

Think about rolling a die and a spinner landing on red. The die showing a 5 has absolutely no effect on what color the spinner lands on. The events are completely separate, like they are in their own little worlds.

Section 4

Multiplication Rule for Probability

Property

If events A and B are independent, then the probability of both happening is found by multiplying their individual probabilities: P(A and B)=P(A)⋅P(B)P(\text{A and B}) = P(\text{A}) \cdot P(\text{B}).

Examples

  • P(heads and rolling a 6)=P(heads)â‹…P(6)=12â‹…16=112P(\text{heads and rolling a 6}) = P(\text{heads}) \cdot P(6) = \frac{1}{2} \cdot \frac{1}{6} = \frac{1}{12}.
  • P(red then blue marble, with replacement)=25â‹…35=625P(\text{red then blue marble, with replacement}) = \frac{2}{5} \cdot \frac{3}{5} = \frac{6}{25}.

Explanation

Want to know the chances of two separate things both happening? Just multiply their probabilities together! This powerful rule lets you calculate the likelihood of a combined outcome in a snap, like finding a fraction of a fraction.

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 7: Algebra

  1. Lesson 1

    Lesson 61: Sequences

  2. Lesson 2

    Lesson 62: Graphing Solutions to Inequalities on a Number Line

  3. Lesson 3

    Lesson 63: Rational Numbers, Non-Terminating Decimals, and Percents and Fractions with Negative Exponents

  4. Lesson 4

    Lesson 64: Using a Unit Multiplier to Convert a Rate

  5. Lesson 5

    Lesson 65: Applications Using Similar Triangles

  6. Lesson 6

    Lesson 66: Special Right Triangles

  7. Lesson 7

    Lesson 67: Percent of Change

  8. Lesson 8Current

    Lesson 68: Probability Multiplication Rule

  9. Lesson 9

    Lesson 69: Direct Variation

  10. Lesson 10

    Lesson 70: Solving Direct Variation Problems

  11. Lesson 11

    Investigation 7: Probability Simulation

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

📘 Probability Multiplication Rule

New Concept

This rule calculates the probability of multiple independent events occurring. If events A and B are independent, the probability of both happening is found by multiplying their individual probabilities.

Multiplication Rule for Probability
> If events A and B are independent, then
>

P(A and B)=P(A)⋅P(B)P(\text{A and B}) = P(\text{A}) \cdot P(\text{B})

What’s next

This is just the foundation for compound probability. Next, you’ll master this rule by working through examples with dice, coins, and spinners to see it in action.

Section 2

Fundamental Counting Principle

Property

If an experiment has two parts, with mm outcomes for the first and nn for the second, the total number of outcomes is mâ‹…nm \cdot n.

Examples

  • Flipping 3 coins: 2â‹…2â‹…2=82 \cdot 2 \cdot 2 = 8 total outcomes.
  • Choosing 1 of 5 main dishes and 1 of 3 desserts: 5â‹…3=155 \cdot 3 = 15 possible meals.

Explanation

Need to find all possible combos for a multi-step event? Forget drawing a giant tree diagram! Just multiply the number of choices for each step to get your total. It’s a super-fast shortcut for counting all your options.

Section 3

Independent Events

Property

Two events are independent if the occurrence of one does not change the probability of the other. The outcome of one event does not influence the other at all.

Examples

  • A coin landing on heads and a number cube rolling a 4.
  • Drawing a card from a deck, putting it back, and drawing a second card.

Explanation

Think about rolling a die and a spinner landing on red. The die showing a 5 has absolutely no effect on what color the spinner lands on. The events are completely separate, like they are in their own little worlds.

Section 4

Multiplication Rule for Probability

Property

If events A and B are independent, then the probability of both happening is found by multiplying their individual probabilities: P(A and B)=P(A)⋅P(B)P(\text{A and B}) = P(\text{A}) \cdot P(\text{B}).

Examples

  • P(heads and rolling a 6)=P(heads)â‹…P(6)=12â‹…16=112P(\text{heads and rolling a 6}) = P(\text{heads}) \cdot P(6) = \frac{1}{2} \cdot \frac{1}{6} = \frac{1}{12}.
  • P(red then blue marble, with replacement)=25â‹…35=625P(\text{red then blue marble, with replacement}) = \frac{2}{5} \cdot \frac{3}{5} = \frac{6}{25}.

Explanation

Want to know the chances of two separate things both happening? Just multiply their probabilities together! This powerful rule lets you calculate the likelihood of a combined outcome in a snap, like finding a fraction of a fraction.

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 7: Algebra

  1. Lesson 1

    Lesson 61: Sequences

  2. Lesson 2

    Lesson 62: Graphing Solutions to Inequalities on a Number Line

  3. Lesson 3

    Lesson 63: Rational Numbers, Non-Terminating Decimals, and Percents and Fractions with Negative Exponents

  4. Lesson 4

    Lesson 64: Using a Unit Multiplier to Convert a Rate

  5. Lesson 5

    Lesson 65: Applications Using Similar Triangles

  6. Lesson 6

    Lesson 66: Special Right Triangles

  7. Lesson 7

    Lesson 67: Percent of Change

  8. Lesson 8Current

    Lesson 68: Probability Multiplication Rule

  9. Lesson 9

    Lesson 69: Direct Variation

  10. Lesson 10

    Lesson 70: Solving Direct Variation Problems

  11. Lesson 11

    Investigation 7: Probability Simulation