Learn on PengiBig Ideas Math, Advanced 2Chapter 15: Probability and Statistics

Section 15.1: Outcomes and Events

In this Grade 7 lesson from Big Ideas Math Advanced 2, students learn to identify outcomes, favorable outcomes, and events in probability experiments. Using activities like flipping coins, spinning spinners, and playing Rock Paper Scissors, students practice counting all possible results of an experiment and determining the number of favorable outcomes for a given event. This section lays the foundational vocabulary and concepts for the probability and statistics unit in Chapter 15.

Section 1

Defining Probability and Experiments

Property

An experiment is an activity whose results can be observed and recorded. Each of the possible results of an experiment is an outcome. The set of all possible outcomes for an experiment is a sample space. The sample space SS for rolling a fair die is S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}. An event is a collection of outcomes, a set in the sample space. The set of all even-numbered rolls {2,4,6}\{2, 4, 6\} is a subset of all possible rolls of a die {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} and is an event.

Examples

  • Flipping a coin is an experiment. The sample space is {H,T}\{H, T\}. The event of getting heads has one outcome.
  • Picking a random letter from "MATH" is an experiment. The sample space is {M,A,T,H}\{M, A, T, H\}. The event of picking a vowel has one outcome, AA.
  • Spinning a spinner with sections Red, Blue, and Green is an experiment. The sample space is {Red, Blue, Green}. The event of landing on a primary color includes two outcomes: Red and Blue.

Explanation

Think of probability as a game. An "experiment" is the action, like rolling a die. An "outcome" is one possible result, like rolling a 4. The "sample space" is all possible results, and an "event" is any group of outcomes.

Section 2

Counting Favorable Outcomes

Property

To count favorable outcomes for an event, identify all outcomes from the sample space that satisfy the event's condition. The number of favorable outcomes is denoted as n(E)n(E) where EE represents the event.

Examples

Section 3

Identifying Complementary Events

Property

Two events are complementary if they are mutually exclusive (have no outcomes in common) and together they make up the entire sample space. The complement of event XX is referred to as "not XX" and contains all outcomes in the sample space that are not in event XX.

Examples

Book overview

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Chapter 15: Probability and Statistics

  1. Lesson 1Current

    Section 15.1: Outcomes and Events

  2. Lesson 2

    Section 15.2: Probability

  3. Lesson 3

    Section 15.3: Experimental and Theoretical Probability

  4. Lesson 4

    Section 15.4: Compound Events

  5. Lesson 5

    Section 15.5: Independent and Dependent Events

  6. Lesson 6

    Section 15.6: Samples and Populations

  7. Lesson 7

    Section 15.7: Comparing Populations

Lesson overview

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Section 1

Defining Probability and Experiments

Property

An experiment is an activity whose results can be observed and recorded. Each of the possible results of an experiment is an outcome. The set of all possible outcomes for an experiment is a sample space. The sample space SS for rolling a fair die is S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}. An event is a collection of outcomes, a set in the sample space. The set of all even-numbered rolls {2,4,6}\{2, 4, 6\} is a subset of all possible rolls of a die {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\} and is an event.

Examples

  • Flipping a coin is an experiment. The sample space is {H,T}\{H, T\}. The event of getting heads has one outcome.
  • Picking a random letter from "MATH" is an experiment. The sample space is {M,A,T,H}\{M, A, T, H\}. The event of picking a vowel has one outcome, AA.
  • Spinning a spinner with sections Red, Blue, and Green is an experiment. The sample space is {Red, Blue, Green}. The event of landing on a primary color includes two outcomes: Red and Blue.

Explanation

Think of probability as a game. An "experiment" is the action, like rolling a die. An "outcome" is one possible result, like rolling a 4. The "sample space" is all possible results, and an "event" is any group of outcomes.

Section 2

Counting Favorable Outcomes

Property

To count favorable outcomes for an event, identify all outcomes from the sample space that satisfy the event's condition. The number of favorable outcomes is denoted as n(E)n(E) where EE represents the event.

Examples

Section 3

Identifying Complementary Events

Property

Two events are complementary if they are mutually exclusive (have no outcomes in common) and together they make up the entire sample space. The complement of event XX is referred to as "not XX" and contains all outcomes in the sample space that are not in event XX.

Examples

Book overview

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

Continue this chapter

Chapter 15: Probability and Statistics

  1. Lesson 1Current

    Section 15.1: Outcomes and Events

  2. Lesson 2

    Section 15.2: Probability

  3. Lesson 3

    Section 15.3: Experimental and Theoretical Probability

  4. Lesson 4

    Section 15.4: Compound Events

  5. Lesson 5

    Section 15.5: Independent and Dependent Events

  6. Lesson 6

    Section 15.6: Samples and Populations

  7. Lesson 7

    Section 15.7: Comparing Populations