Learn Without Walls

🔍 Grade 5 — Data Detective

Complete instructor pack for the Grade 5 data science course. Ages 10–11. Students develop critical data literacy: questioning misleading graphs, understanding probability and sampling, detecting bias, exploring data ethics, and arguing from evidence like scientists and citizens.

8Sessions
32Lessons
8Projects
10–11Ages
~60 minPer Session

📈 Course Arc — How Sessions Build on Each Other

S1
Data Is Everywhere
Primary vs. secondary; your data trail
S2
Research Questions
Hypotheses & testable predictions
S3
Sampling
Random, convenience, stratified
S4
Data Deceives
Cherry-picking, Simpson's paradox
S5
Probability
Experimental vs. theoretical
S6
Correlation
vs. causation; spurious links
S7
Data Ethics
Privacy, consent, algorithmic bias
S8
Capstone
Full independent investigation
🎒

Classroom Supplies — Keep These on Hand All Term

Grade 5 sessions include physical simulations and research projects. Stock these once and you're set for all 8 sessions.

Graph paper Colored pencils/markers Pencils & erasers Sticky notes Index cards Ruler 100 colored beads (S3) Coins for flipping (S5) Paper bags for bead draws (S3) Clipboards (1 per student) Timer/stopwatch Printed case study cards (S4, S7)

🧠 ND-Friendly Tips for Grade 5 (Ages 10–11)

📚 Other Grade Packs in This Series

Grade 1 — I Notice, I Wonder (Ages 6–7)   |   Grade 2 — Let's Count and Compare (Ages 7–8)   |   Grade 3 — Asking Better Questions (Ages 8–9)   |   Grade 4 — What's the Story? (Ages 9–10)   |   ← Back to Data Science Instructor Hub
📚 All Sessions — Full Instructor Pack
1

Data Is Everywhere

Primary vs. secondary data; quantitative vs. qualitative; your personal data trail

✅ Full Pack
2

Research Questions and Hypotheses

Forming testable hypotheses, predictions, variables, null hypothesis (simplified)

✅ Full Pack
3

Sampling Strategies

Random, convenience, stratified sampling; sample size; bead jar simulation

✅ Full Pack
4

When Data Deceives

Cherry-picking, Simpson's paradox, framing effects, survivorship bias — Data Detectives activity

✅ Full Pack
5

Probability and Prediction

Experimental vs. theoretical probability, Law of Large Numbers, coin flip simulation

✅ Full Pack
6

Correlation vs. Causation

Spurious correlations, confounding variables, arguing from evidence responsibly

✅ Full Pack
7

Data Ethics

Privacy, consent, algorithmic bias, public vs. private data — nuanced case studies

✅ Full Pack
8

Independent Data Investigation (Capstone)

Full research cycle: question, hypothesis, collect, organize, analyze, report, present

✅ Full Pack