Topic 1 · pp. 180–184 · Free
Topic Notes · Easy summaries with diagrams
Chapter 9 — Chapter 9 — Data Science and Data Gathering
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📘Easy summary
Data: raw facts gathered about things; processed data = information. Qualitative (categorical): descriptive, non-numeric — nominal (categories without order: colours, fruit types, favourite flavour) and ordinal (ordered categories: shirt size S/M/L, grades, ratings). Quantitative (numeric): discrete (countable separate values: number of students, cars) and continuous (any value in a range, measured: height, temperature, time).
⭐Key points
- Count = discrete; measure = continuous.
🔬Diagram
🌿Real-life example
Height 152.4 cm → continuous.
💡Exam tip
- Classify examples.
✅Quick check
1. Height of students:
2. Categories without order:
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