Data Science for Young Minds — Grade 3
| Topic | Details |
|---|---|
| Why comparison needs structure | Why comparison needs structure: same scale, same categories |
| Side-by-side bar charts for comparing gr | Side-by-side bar charts for comparing groups |
| Back-to-back displays for two groups | Back-to-back displays for two groups |
| Activity | Activity: create side-by-side charts for two classes' favorite subjects |
| Small differences vs. large differences | Small differences vs. large differences |
| Sample size matters | Sample size matters: small groups show bigger random variation |
| Repeated measurements | Repeated measurements: does the difference hold up? |
| The question to ask | The question to ask: 'Could this difference be due to chance?' |
| Comparing means | Comparing means: which group's average is higher? |
| Comparing ranges | Comparing ranges: which group is more spread out? |
| Comparing frequencies | Comparing frequencies: which group has more of something? |
| Activity | Activity: compare two real datasets using at least 3 numerical measures |
| Comparing apples to oranges | Comparing apples to oranges: different measurements, different conditions |
| Cherry-picking | Cherry-picking: selecting only favorable data to compare |
| Ignoring context | Ignoring context: comparing numbers without background information |
| Activity | Activity: find 3 unfair comparisons in ads or news and explain what is wrong |
Learn to display two datasets next to each other so differences jump out.
Not every difference matters. Learn when a difference is significant and when it is just noise.
Go beyond visual comparison. Use means, ranges, and counts to compare groups precisely.
Learn to spot unfair comparisons in the real world — in ads, news, and everyday claims.