Concept A1.3

Variability of data

Recognize that variability is a foundational component of data.

K–2 Competencies

Observe that data can have many different answers or results.

K-2.A.1.3a

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

3–5 Competencies

Multiple conclusions can be drawn from the same set of data.

3-5.A.1.3a

Recognize that variability of data contributes to uncertainty. e.g., measuring plant growth daily shows natural variation which makes predicting exact height for the next day difficult

3-5.A.1.3b

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

6–8 Competencies

Make sense of the variability of data through an iterative process of refinement by questioning.

6-8.A.1.3a

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

9–10 Competencies

Recognize the different types of variability (e.g., natural, measurement, sampling).

9-10.A.1.3a

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

11–12 Competencies

Explore different types of variability for making inferences (e.g., confidence intervals, various tests, classification models).

11-12.A.1.3a

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

Classroom resources

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