Data Analysis & Interpretation
📋 What it is
Data becomes knowledge when you organise it, spot patterns, and interpret honestly.
🗣️ Coach says
Raw numbers don’t speak for themselves — you have to organise them (tables, graphs), look for patterns (a rising trend), and interpret carefully. And you must be honest: a graph can mislead if the scale is stretched. Good scientists let the data lead, not their hopes.
🧠 Memory hook
Organise → find the pattern → interpret honestly. Let the data lead.
😂 Giggle
Why don't scientists trust stairs?
Because they're always up to something!
😲 Whoa!
The same data can tell opposite stories depending on how a graph’s axis is drawn — which is why scientists always check the scale before trusting a chart.
✅ Quick check: Your graph shows scores rising every week. What’s the honest conclusion?
Say your answer out loud first — then reveal.
Scores are trending upward — but only conclude what the data shows; don’t claim WHY without more evidence.
Interpretation should match the data and avoid unsupported leaps.
🧪 Try it! (2 minutes)
Look at any chart (weather, sports). Find the pattern, then check: is the scale honest, or stretched to exaggerate?