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: