Learn on PengiSaxon Math, Course 3Chapter 4: Algebra • Measurement

Lesson 32: Probability

New Concept Probability measures the chance of something happening! It is the likelihood that a particular event will occur and is calculated as a ratio of favorable outcomes to possible outcomes: $$P(\text{Event}) = \frac{\text{number of favorable outcomes}}{\text{number of possible outcomes}}$$ What’s next You'll apply this formula to calculate odds and map out all possible outcomes (the sample space). Soon, we'll compare theoretical predictions to real world experimental results.

Section 1

📘 Probability

New Concept

Probability measures the chance of something happening! It is the likelihood that a particular event will occur and is calculated as a ratio of favorable outcomes to possible outcomes:

P(Event)=number of favorable outcomesnumber of possible outcomesP(\text{Event}) = \frac{\text{number of favorable outcomes}}{\text{number of possible outcomes}}

What’s next

You'll apply this formula to calculate odds and map out all possible outcomes (the sample space). Soon, we'll compare theoretical predictions to real-world experimental results.

Section 2

Probability

Property

Probability is the likelihood that a particular event will occur. We express probability as a number ranging from zero to one.

P(Event)=number of favorable outcomesnumber of possible outcomesP(\text{Event}) = \frac{\text{number of favorable outcomes}}{\text{number of possible outcomes}}

Examples

  • Rolling an even number on a 6-sided die, the probability is: P(even)=36=12P(\text{even}) = \frac{3}{6} = \frac{1}{2}
  • Picking a blue marble from a bag with 5 red and 3 blue ones: P(blue)=38P(\text{blue}) = \frac{3}{8}

Explanation

Think of probability as a score for how likely something is, from 0 (no way!) to 1 (for sure!). It’s a fraction comparing what you want to happen to everything that could happen. This helps you predict outcomes in games or experiments!

Section 3

Sample space

Property

The sample space of an experiment is the collection of all possible outcomes. We can record the sample space in a variety of ways, including a list or a table.

Examples

  • For flipping a coin twice, the sample space is: \{HH, HT, TH, TT\}
  • For rolling a standard six-sided die, the sample space is: \{1, 2, 3, 4, 5, 6\}

Explanation

The sample space is your ultimate cheat sheet for any probability problem. It’s a complete list of every single possible result! Before you can figure out the chances of something happening, you need to know all the things that could happen. Listing them all makes calculating probabilities much easier.

Section 4

Complement

Property

The complement of an event is the set of outcomes in the sample space that are not included in the event.

P(not A)=1P(A)P(\text{not } A) = 1 - P(A)

Examples

  • If the chance of rain is 0.20.2, the chance of no rain is: 10.2=0.81 - 0.2 = 0.8
  • The probability of rolling a 6 is 16\frac{1}{6}. The probability of not rolling a 6 is: 116=561 - \frac{1}{6} = \frac{5}{6}

Explanation

The complement is a super useful shortcut for finding the probability of something not happening. Since an event either occurs or it doesn't, their probabilities always add up to 1. Just subtract the event's probability from 1 to find its opposite chance!

Book overview

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Continue this chapter

Chapter 4: Algebra • Measurement

  1. Lesson 1

    Lesson 31: Adding Integers and Collecting Like Terms

  2. Lesson 2Current

    Lesson 32: Probability

  3. Lesson 3

    Lesson 33: Subtracting Integers

  4. Lesson 4

    Lesson 34: Proportions and Ratio Word Problems

  5. Lesson 5

    Lesson 35: Similar and Congruent Polygons

  6. Lesson 6

    Lesson 36: Multiplying and Dividing Integers and Multiplying and Dividing Terms

  7. Lesson 7

    Lesson 37: Areas of Combined Polygons

  8. Lesson 8

    Lesson 38: Using Properties of Equality to Solve Equations

  9. Lesson 9

    Lesson 39: Circumference of a Circle

  10. Lesson 10

    Lesson 40: Area of a Circle

  11. Lesson 11

    Lesson 11: Investigation 4: Drawing Geometric Solids

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

📘 Probability

New Concept

Probability measures the chance of something happening! It is the likelihood that a particular event will occur and is calculated as a ratio of favorable outcomes to possible outcomes:

P(Event)=number of favorable outcomesnumber of possible outcomesP(\text{Event}) = \frac{\text{number of favorable outcomes}}{\text{number of possible outcomes}}

What’s next

You'll apply this formula to calculate odds and map out all possible outcomes (the sample space). Soon, we'll compare theoretical predictions to real-world experimental results.

Section 2

Probability

Property

Probability is the likelihood that a particular event will occur. We express probability as a number ranging from zero to one.

P(Event)=number of favorable outcomesnumber of possible outcomesP(\text{Event}) = \frac{\text{number of favorable outcomes}}{\text{number of possible outcomes}}

Examples

  • Rolling an even number on a 6-sided die, the probability is: P(even)=36=12P(\text{even}) = \frac{3}{6} = \frac{1}{2}
  • Picking a blue marble from a bag with 5 red and 3 blue ones: P(blue)=38P(\text{blue}) = \frac{3}{8}

Explanation

Think of probability as a score for how likely something is, from 0 (no way!) to 1 (for sure!). It’s a fraction comparing what you want to happen to everything that could happen. This helps you predict outcomes in games or experiments!

Section 3

Sample space

Property

The sample space of an experiment is the collection of all possible outcomes. We can record the sample space in a variety of ways, including a list or a table.

Examples

  • For flipping a coin twice, the sample space is: \{HH, HT, TH, TT\}
  • For rolling a standard six-sided die, the sample space is: \{1, 2, 3, 4, 5, 6\}

Explanation

The sample space is your ultimate cheat sheet for any probability problem. It’s a complete list of every single possible result! Before you can figure out the chances of something happening, you need to know all the things that could happen. Listing them all makes calculating probabilities much easier.

Section 4

Complement

Property

The complement of an event is the set of outcomes in the sample space that are not included in the event.

P(not A)=1P(A)P(\text{not } A) = 1 - P(A)

Examples

  • If the chance of rain is 0.20.2, the chance of no rain is: 10.2=0.81 - 0.2 = 0.8
  • The probability of rolling a 6 is 16\frac{1}{6}. The probability of not rolling a 6 is: 116=561 - \frac{1}{6} = \frac{5}{6}

Explanation

The complement is a super useful shortcut for finding the probability of something not happening. Since an event either occurs or it doesn't, their probabilities always add up to 1. Just subtract the event's probability from 1 to find its opposite chance!

Book overview

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

Continue this chapter

Chapter 4: Algebra • Measurement

  1. Lesson 1

    Lesson 31: Adding Integers and Collecting Like Terms

  2. Lesson 2Current

    Lesson 32: Probability

  3. Lesson 3

    Lesson 33: Subtracting Integers

  4. Lesson 4

    Lesson 34: Proportions and Ratio Word Problems

  5. Lesson 5

    Lesson 35: Similar and Congruent Polygons

  6. Lesson 6

    Lesson 36: Multiplying and Dividing Integers and Multiplying and Dividing Terms

  7. Lesson 7

    Lesson 37: Areas of Combined Polygons

  8. Lesson 8

    Lesson 38: Using Properties of Equality to Solve Equations

  9. Lesson 9

    Lesson 39: Circumference of a Circle

  10. Lesson 10

    Lesson 40: Area of a Circle

  11. Lesson 11

    Lesson 11: Investigation 4: Drawing Geometric Solids