📝 Student Worksheet — Session 1: Data Is Everywhere

Data Science for Young Minds · Grade 5 · Ages 10–11

Name

Date

Class Period

📚 Part 1 — Vocabulary (write the definition in your own words)

Primary Data

Secondary Data

Quantitative Data

Qualitative Data

Structured Data

Data Trail

🕵️ Part 2 — Personal Data Audit

List at least 12 pieces of data collected about you in a single school day. Classify each one.

Data Point	Who Collects It	Primary or Secondary?	Quantitative or Qualitative?	Why do they collect it?

Total data points found: _____ Category with the most: _____________________

🔍 Part 3 — Data Type Classification

Classify each data point. Circle the correct answers.

Data Point	Primary / Secondary	Quantitative / Qualitative
Your score on yesterday's math quiz	Primary / Secondary	Quantitative / Qualitative
A government report on childhood obesity rates	Primary / Secondary	Quantitative / Qualitative
Survey you conducted asking friends about favorite food	Primary / Secondary	Quantitative / Qualitative
Your teacher's written comment on your essay	Primary / Secondary	Quantitative / Qualitative
Number of steps tracked by a fitness app	Primary / Secondary	Quantitative / Qualitative
Historical rainfall totals from 1990–2020	Primary / Secondary	Quantitative / Qualitative

✍️ Part 4 — Reflection Writing

Which piece of data from your audit surprised you the most? Who collects it — and why do you think they collect it?

Write at least 3 sentences. Name a specific data point and make an inference about its purpose.

Do you think that data collection is mostly helpful, mostly harmful, or somewhere in between? Explain your thinking.

🧩 Part 5 — Structured or Unstructured?

Write S for Structured or U for Unstructured next to each data source.

A spreadsheet of student grades

A collection of student essays

A database of weather readings

Thousands of social media photos

Recorded doctor's appointment notes

A survey where each question has a number answer

🏠 Take-Home Challenge — Evening Data Trail

Tonight, track your own data trail from 4pm to bedtime. For each piece of technology you use, write down what data it might be collecting.

☐ List at least 5 technology interactions (TV, phone, tablet, game console, etc.)

☐ For each: what data is being collected? Is it quantitative or qualitative?

☐ Write one sentence: "The piece of data I'm most comfortable sharing is ___ because ___."

My most surprising find from the evening: