🎯 Learning Intention

I will learn how to tell the difference between qualitative and quantitative data.

✅ Success Criteria

• [ ] I can define qualitative and quantitative data in my own words
• [ ] I can correctly classify sample responses as qualitative or quantitative
• [ ] I can write one example question of each type

🌍 Why this matters

Good root cause analysis combines both qualitative (stories, opinions, experiences) and quantitative (numbers, counts, measurements) data. If you know the difference, you can design better surveys and get more useful results.

🔓 Warm-Up (Tech Journal • 5 min)

Prompt: Imagine we want to study school Wi-Fi. Write two survey questions: one that would give us numbers, and one that would give us opinions.

📚 Vocabulary

• Qualitative Data — descriptive information (opinions, experiences, “the why”)
• Quantitative Data — numerical information (counts, ratings, “the how much”)
• Coding Data — the process of turning qualitative answers into categories

🧭 Agenda (45–50 min)

1) Mini-Lesson: The Two Qs (10 min)

• Recap: Qual = quality/words, Quan = quantity/numbers.