Lesson 4: Be a Data Detective

About 30 minutes — Activity-based lesson

What You Will Learn

This lesson covers:

Questions every data detective asks: Who collected this? Why? How? How many?
Red flags: no source, tiny sample, emotional language, missing context
The difference between data that informs and data that persuades
Activity: evaluate 3 real-world data claims

Questions every data detective asks: Who collected this? Why? How? How many?

This section covers the key ideas about questions every data detective asks: who collected this? why? how? how many?. Discuss with your group or family and explore the concepts together.

Red flags: no source, tiny sample, emotional language, missing context

This section covers the key ideas about red flags: no source, tiny sample, emotional language, missing context. Discuss with your group or family and explore the concepts together.

The difference between data that informs and data that persuades

This section covers the key ideas about the difference between data that informs and data that persuades. Discuss with your group or family and explore the concepts together.

Activity: evaluate 3 real-world data claims

This section covers the key ideas about activity: evaluate 3 real-world data claims. Discuss with your group or family and explore the concepts together.

Check Your Understanding

1. What questions should a data detective ask?

Answer: Who collected this data? Why? How many people were surveyed? How were they selected? What is the source? Is the graph accurate? These questions reveal hidden problems.

2. What are red flags in data claims?

Answer: No source cited, very small sample, emotional language instead of numbers, missing context, graphs that look suspicious, and claims that seem too dramatic.

3. What is the difference between informing and persuading with data?

Answer: Informing shows the full picture fairly. Persuading selects only the data that supports one viewpoint and hides the rest. Both use data, but the intent is different.

4. Can you trust data in advertisements?

Answer: Be skeptical. Ads use data to sell products. They might cherry-pick statistics, use misleading graphs, or quote small studies. Always look for the full context.

Key Takeaways

Questions every data detective asks: Who collected this? Why? How? How many?
Red flags: no source, tiny sample, emotional language, missing context
The difference between data that informs and data that persuades
Activity: evaluate 3 real-world data claims

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Practice & Quiz

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Practice Activities

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