UGC NET PAPER 1 · UNIT 07 · REVISION
Data Interpretation Rapid-Recall Sheet
Each line is a typical direct-recall item. Use it in the last days of revision, after you have read the topics and the exam traps.
- 29 high-yield facts
- One page
- Type to filter
High-yield facts
| Item | Key fact |
|---|---|
| Mean | Sum of observations / number of observations |
| Weighted mean | Σ(w × x) / Σw |
| Mode (empirical) | 3 × Median − 2 × Mean |
| Percentage | Part / Whole × 100 |
| Percentage change | (New − Old) / Old × 100 |
| Percentage point change | New per cent − Old per cent |
| Successive change | a + b + ab / 100 |
| Class width | Upper limit − Lower limit |
| Class mark | (Lower + Upper) / 2 |
| Pie sector angle | Value / Total × 360° |
| Share from angle | Angle / 360 × 100 |
| Frequency density | Frequency / Class width |
| Coefficient of variation | SD / Mean × 100 |
| CAGR | (End / Start)^(1/n) − 1 |
| Rule of 72 | Doubling time ≈ 72 / growth rate in per cent |
| Primary and secondary data | First-hand and original, against previously collected |
| Quantitative and qualitative data | Numbers and measurement, against descriptions and categories |
| Discrete and continuous variable | Separate whole values, against any value in a range |
| Questionnaire and schedule | Self-filled, against interviewer-filled |
| Census and sample | Complete enumeration, against a selected part |
| Probability and non-probability sampling | Known chance of selection, against no known chance |
| Bar chart and histogram | Gaps and categories, against no gaps and continuous classes |
| Exclusive and inclusive classes | Upper limit excluded, against both limits included |
| Cross-sectional and time series data | Many units at one time, against one unit over time |
| Parameter and statistic | Population measure, against sample measure |
| Percentage and percentage point | Relative change, against simple difference |
| Data and information | Raw facts, against processed meaning |
| Open data and big data | Freely shared data, against very large and varied data |
| Digital divide and digital literacy | Gap in access and use, against skill to use ICT |
Where each fact is explained
Open the topic for the concept behind any line you cannot recall.
- 0 Exam Pattern, Syllabus and Trends
- 1 Data: Meaning, Characteristics and Types
- 2 Sources and Acquisition of Data
- 3 Classification of Data
- 4 Quantitative and Qualitative Data
- 5 Graphical Representation and Mapping of Data
- 6 Core Measures and Formulas for Data Interpretation
- 7 Data Interpretation: Method, Question Types and Solved Illustrations
- 8 Speed Tricks, Approximation and Common Traps
- 9 Data and Governance
- 10 Quick Revision Sheet and Concept-MCQ Hot Spots
- 11 Study Plan, Exam-Day Checklist and Verification Note
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