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Session 8 Study Guide: The Data Detective Final Case

Data Science for Young Minds — Grade 3

Key Topics

TopicDetails
Where to find data claimsWhere to find data claims: news headlines, social media posts, advertisements, infographics
What makes a good caseWhat makes a good case: a specific, verifiable claim with data behind it
Examples of good investigation topicsExamples of good investigation topics
ActivityActivity: find 3 potential cases and choose the best one
Step 1Step 1: Find the original source of the data
Step 2Step 2: Evaluate the methodology (who, how many, how selected)
Step 3Step 3: Check for bias and misleading presentation
Step 4Step 4: Look for what is missing
Report structureReport structure: claim, source analysis, methodology evaluation, bias check, verdict
Supporting your verdict with specific evSupporting your verdict with specific evidence
Rating the claimRating the claim: Supported, Partially Supported, Misleading, or False
Writing a clear, fair, evidence-based coWriting a clear, fair, evidence-based conclusion
Structuring your presentationStructuring your presentation: hook, claim, investigation, evidence, verdict
Using visuals to support your argumentUsing visuals to support your argument
Handling questions and challenges from tHandling questions and challenges from the audience
ReflectionReflection: you are now a Data Detective for life

Lesson Summaries

Lesson 1: Finding Your Case

Choose a real data claim from the news, social media, or advertising to investigate.

Lesson 2: The Investigation

Apply every skill you have learned: check sources, evaluate methods, look for bias, and verify numbers.

Lesson 3: Writing Your Verdict

Write your investigation report: the claim, your evidence, your analysis, and your verdict.

Lesson 4: Presenting Your Case

Present your investigation to an audience. You are the Data Detective — share your findings with authority.

Review Questions

  1. Where can you find data claims to investigate?
  2. What makes a good case for investigation?
  3. Can you investigate any claim?
  4. How many claims should you investigate?
  5. How do you find the original source?
  6. What should you check about methodology?
  7. What types of bias should you look for?
  8. What is often missing from data claims?
  9. What should your report include?
  10. How do you rate a claim?
  11. What if you cannot determine the truth?
  12. How do you keep your verdict fair?
  13. How should you present your investigation?
  14. What visuals should you use?
  15. What if the audience disagrees with your verdict?
  16. What does it mean to be a Data Detective for life?