Presentation of Data
1. Classification:
- Organizing
data into categories for easier analysis.
- Example:
Classifying ages into groups (e.g., 0-10, 11-20, etc.).
2. Frequency Distribution:
- Discrete Data:
Data with distinct, separate values (e.g., number of students).
- Continuous
Data: Data that can take any value within a range (e.g., height, weight).
3. Tabulation:
- Organizing
data into tables for easier analysis.
- Example: A
table showing the frequency of different age groups in a population.
4. Graphs and Charts:
- Frequency Bar Diagram:Displays
frequencies of categories with bars.
- Pie Chart:Shows
proportions of categories as segments of a circle.
- Histogram:
Similar to bar charts but for continuous data, showing frequency distribution.
- Ogives:Cumulative
frequency graphs used to show cumulative totals.