Data Handling Mind Map
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Visual Mind Map & Concept Tree (English)
Structured concept hierarchy, subtopic relationships, and exam revision tree.
Data Handling
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Basic Concepts
- Data: Information collected in numerical form
- Raw Data: Unorganised data gathered initially
- Frequency: Number of times a particular observation occurs
- Tally Marks: Marks used to count and organize frequency
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Organising Data
- Frequency Distribution Table: Tabular arrangement of data
- Grouped Data: Data organized into specific class groups
- Class Interval: Specific range of numbers (e.g., 10-20)
- Lower Class Limit: Smallest number in interval
- Upper Class Limit: Largest number in interval
- Class Width / Size: Difference between upper and lower limit
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Graphical Representation
- Bar Graph: Bars of uniform width with equal gaps
- Double Bar Graph: Compares two sets of data side-by-side
- Histogram
- Represents grouped/continuous data
- Rectangular bars with no gaps between them
- Pie Chart (Circle Graph)
- Shows relation between a whole and its parts
- Division into circular sectors
- Central Angle Formula: (Value of component / Total value) ├Ч 360┬░
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Chance and Probability
- Random Experiment: Activity with unpredictable exact outcomes (e.g., Tossing a coin)
- Outcomes: Possible results of an experiment
- Equally Likely Outcomes: Outcomes having equal chance of occurring
- Event: Collection of one or more outcomes
- Probability Formula: P(E) = (Number of favourable outcomes) / (Total number of outcomes)
- Probability Value: Always lies between 0 (Impossible) and 1 (Certain)