Learn on PengiSaxon Math, Course 1Chapter 6: Geometry and Number Operations

Lesson 58: Probability and Chance

In this Grade 6 Saxon Math lesson, students learn the foundational concepts of probability and chance, including how to identify the sample space of an experiment and assign probabilities as fractions or decimals on a scale from zero to one. Students practice determining the likelihood of outcomes for events such as coin flips and spinner experiments, recognizing that all outcome probabilities must sum to one. The lesson is part of Chapter 6 in Saxon Math Course 1 and builds number sense around equally likely and unequally likely events.

Section 1

📘 Probability and Chance

New Concept

Probability is the measure of how likely an event is to happen. It is expressed as a number between 0 (impossible) and 1 (certain).

If all outcomes of an experiment or game have the same probability, then the probability of an event is:

What’s next

This is just the foundation. Soon, you'll apply this formula to worked examples involving spinners, number cubes, and complementary events to master this concept.

Section 2

Probability

Property

Probability is a number from 0 to 1 that measures the likelihood of an event. An event that is certain to occur has a probability of 1. An event that is certain not to occur has a probability of 0.

Examples

P(rolling a 7 on a 6-sided die)=0P(\text{rolling a 7 on a 6-sided die}) = 0
P(rolling a number less than 7 on a 6-sided die)=1P(\text{rolling a number less than 7 on a 6-sided die}) = 1
P(flipping a coin and getting tails)=12P(\text{flipping a coin and getting tails}) = \frac{1}{2}

Explanation

Think of probability as a 'likeliness meter' for uncertain events. Is it definitely going to snow tomorrow (a probability of 1)? No way (a probability of 0)? Or is it a maybe, like a 50/50 coin flip? The closer the number is to 1, the more likely something is to happen. It's the mathematical way of saying 'probably'!

Section 3

Sample space

Property

The set of possible outcomes for an event is called the sample space.

Examples

Rolling a standard number cube: Sample space = \{1, 2, 3, 4, 5, 6\}

Explanation

Before you can find the probability of anything, you need to know all the things that could happen. The sample space is just a fancy list of every single possible result. Are you flipping a coin? The sample space is just {Heads, Tails}. It's your map of the entire 'world' of possibilities for that one experiment.

Section 4

Calculating Probability

Property

If all outcomes of an experiment have the same probability, then the probability of an event is:

number of outcomes in the eventnumber of possible outcomes \frac{\text{number of outcomes in the event}}{\text{number of possible outcomes}}

Examples

Probability of rolling an odd number on a die: P(odd)=outcomes {1,3,5}6 total outcomes=36=12P(\text{odd}) = \frac{\text{outcomes } \{1, 3, 5\}}{6 \text{ total outcomes}} = \frac{3}{6} = \frac{1}{2}
Probability of drawing a King from a 52-card deck: P(King)=452=113P(\text{King}) = \frac{4}{52} = \frac{1}{13}
From a bag with 5 red and 7 other marbles, the probability of drawing red is: P(red)=512P(\text{red}) = \frac{5}{12}

Explanation

When every outcome has a fair shot, calculating probability is just a simple fraction! Count how many ways you can 'win' (the outcomes you want) and put that number on top. Then, count all the things that could possibly happen (the whole sample space) and put that on the bottom. Voilà, you’ve got the probability of your event.

Book overview

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Chapter 6: Geometry and Number Operations

  1. Lesson 1

    Lesson 51: Rounding Decimal Numbers

  2. Lesson 2

    Lesson 52: Mentally Dividing Decimal Numbers by 10 and by 100

  3. Lesson 3

    Lesson 53: Decimals Chart

  4. Lesson 4

    Lesson 54: Reducing by Grouping Factors Equal to 1

  5. Lesson 5

    Lesson 55: Common Denominators, Part 1

  6. Lesson 6

    Lesson 56: Common Denominators, Part 2

  7. Lesson 7

    Lesson 57: Adding and Subtracting Fractions: Three Steps

  8. Lesson 8Current

    Lesson 58: Probability and Chance

  9. Lesson 9

    Lesson 59: Adding Mixed Numbers

  10. Lesson 10

    Lesson 60: Polygons

  11. Lesson 11

    Investigation 6: Attributes of Geometric Solids

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

📘 Probability and Chance

New Concept

Probability is the measure of how likely an event is to happen. It is expressed as a number between 0 (impossible) and 1 (certain).

If all outcomes of an experiment or game have the same probability, then the probability of an event is:

What’s next

This is just the foundation. Soon, you'll apply this formula to worked examples involving spinners, number cubes, and complementary events to master this concept.

Section 2

Probability

Property

Probability is a number from 0 to 1 that measures the likelihood of an event. An event that is certain to occur has a probability of 1. An event that is certain not to occur has a probability of 0.

Examples

P(rolling a 7 on a 6-sided die)=0P(\text{rolling a 7 on a 6-sided die}) = 0
P(rolling a number less than 7 on a 6-sided die)=1P(\text{rolling a number less than 7 on a 6-sided die}) = 1
P(flipping a coin and getting tails)=12P(\text{flipping a coin and getting tails}) = \frac{1}{2}

Explanation

Think of probability as a 'likeliness meter' for uncertain events. Is it definitely going to snow tomorrow (a probability of 1)? No way (a probability of 0)? Or is it a maybe, like a 50/50 coin flip? The closer the number is to 1, the more likely something is to happen. It's the mathematical way of saying 'probably'!

Section 3

Sample space

Property

The set of possible outcomes for an event is called the sample space.

Examples

Rolling a standard number cube: Sample space = \{1, 2, 3, 4, 5, 6\}

Explanation

Before you can find the probability of anything, you need to know all the things that could happen. The sample space is just a fancy list of every single possible result. Are you flipping a coin? The sample space is just {Heads, Tails}. It's your map of the entire 'world' of possibilities for that one experiment.

Section 4

Calculating Probability

Property

If all outcomes of an experiment have the same probability, then the probability of an event is:

number of outcomes in the eventnumber of possible outcomes \frac{\text{number of outcomes in the event}}{\text{number of possible outcomes}}

Examples

Probability of rolling an odd number on a die: P(odd)=outcomes {1,3,5}6 total outcomes=36=12P(\text{odd}) = \frac{\text{outcomes } \{1, 3, 5\}}{6 \text{ total outcomes}} = \frac{3}{6} = \frac{1}{2}
Probability of drawing a King from a 52-card deck: P(King)=452=113P(\text{King}) = \frac{4}{52} = \frac{1}{13}
From a bag with 5 red and 7 other marbles, the probability of drawing red is: P(red)=512P(\text{red}) = \frac{5}{12}

Explanation

When every outcome has a fair shot, calculating probability is just a simple fraction! Count how many ways you can 'win' (the outcomes you want) and put that number on top. Then, count all the things that could possibly happen (the whole sample space) and put that on the bottom. Voilà, you’ve got the probability of your event.

Book overview

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

Continue this chapter

Chapter 6: Geometry and Number Operations

  1. Lesson 1

    Lesson 51: Rounding Decimal Numbers

  2. Lesson 2

    Lesson 52: Mentally Dividing Decimal Numbers by 10 and by 100

  3. Lesson 3

    Lesson 53: Decimals Chart

  4. Lesson 4

    Lesson 54: Reducing by Grouping Factors Equal to 1

  5. Lesson 5

    Lesson 55: Common Denominators, Part 1

  6. Lesson 6

    Lesson 56: Common Denominators, Part 2

  7. Lesson 7

    Lesson 57: Adding and Subtracting Fractions: Three Steps

  8. Lesson 8Current

    Lesson 58: Probability and Chance

  9. Lesson 9

    Lesson 59: Adding Mixed Numbers

  10. Lesson 10

    Lesson 60: Polygons

  11. Lesson 11

    Investigation 6: Attributes of Geometric Solids