Organising & Representing Data
Raw data is just a jumble of numbers until it is organised — and CTET expects you to know the NCERT progression. The first tool children meet (Class 6) is the tally mark: every fifth tally is drawn as a cross-stroke (the 'gate' or 'four-and-a-cross' grouping) so totals are read in fives. Tally marks feed a frequency distribution table, where each value (or class) is paired with how many times it occurs (its frequency). The same idea scales up: when data spreads over a wide range, we group it into class intervals (e.g. marks 0–10, 10–20) to get a grouped frequency table. CTET's pedagogy angle here is about purpose — why we organise data (to spot patterns, compare, and summarise), and the common child errors: miscounting tallies, forgetting that the crossing tally is the fifth (not sixth) mark, and the boundary confusion of whether a mark of exactly 20 goes in 10–20 or 20–30 (the convention is the upper limit is excluded, so 20 goes into 20–30). Questions often hand you a tally table and ask for a frequency, a total, the most frequent value, or which interval a reading falls in.
✅ Solved examples
✏️ Practice — try these, take hints as needed
📝 Topic test — 8 questions
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Key Concepts — Quick Reference
Measures of central tendency
| Mean (average) | Mean = (sum of all observations) ÷ (number of observations) |
|---|---|
| Median | Order the data; middle value. If n is even, mean of the two middle values |
| Mode | The observation that occurs most often (a data set can have more than one mode) |
| Range | Range = highest value − lowest value |
Probability & pie charts
| Probability of an event | P(E) = (number of favourable outcomes) ÷ (total number of outcomes) |
|---|---|
| Probability range | 0 ≤ P(E) ≤ 1 · impossible = 0, certain = 1 |
| Sum of all probabilities | P(E) + P(not E) = 1 |
| Pie-chart angle | Angle of a sector = (value ÷ total) × 360° |