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Session 6 Study Guide: What Does the Data Say?

Data Science for Young Minds — Grade 3

Key Topics

TopicDetails
How to read a bar chartHow to read a bar chart: which bar is tallest? shortest? equal?
How to read a pictographHow to read a pictograph: count pictures and multiply by the key
How to read a dot plotHow to read a dot plot: where are the clusters? gaps? outliers?
PracticePractice: answer questions about 5 different graphs
What a pattern looks like in a graphWhat a pattern looks like in a graph
Comparing groupsComparing groups: which has more? less? the same?
Simple trendsSimple trends: going up, going down, staying flat
The difference between a pattern and a cThe difference between a pattern and a coincidence
The phrase 'the data shows...' and why iThe phrase 'the data shows...' and why it matters
Supporting conclusions with specific numSupporting conclusions with specific numbers
The difference between what data SHOWS aThe difference between what data SHOWS and what you THINK
ActivityActivity: write 3 conclusion statements about your data project
Every data project has a storyEvery data project has a story: question → collection → findings
How to present your findings clearlyHow to present your findings clearly
What to includeWhat to include: your question, your method, your graph, your conclusion
PracticePractice: present your data story to a partner

Lesson Summaries

Lesson 1: Reading Graphs

Practice reading information from bar charts, pictographs, and dot plots.

Lesson 2: Finding Patterns in Data

Learn to spot patterns — things that repeat, groups that differ, and trends that tell a story.

Lesson 3: Writing Conclusions

Learn to write clear statements about what your data shows, using evidence.

Lesson 4: Telling the Data Story

Put it all together: read your data, find patterns, and tell the story to an audience.

Review Questions

  1. How do you read a bar chart?
  2. How do you read a pictograph?
  3. How do you read a dot plot?
  4. What should you always check first when reading any graph?
  5. What is a pattern in data?
  6. How do you compare groups in data?
  7. What is a trend?
  8. Is a pattern the same as a coincidence?
  9. Why should you start conclusions with 'the data shows...'?
  10. How do you support a conclusion with evidence?
  11. What is the difference between an observation and an inference?
  12. Can data support more than one conclusion?
  13. What is a 'data story'?
  14. What should a data presentation include?
  15. How do you make a data presentation clear?
  16. Why is telling the data story important?