Data Representation Dc74Fb
1. **Problem Statement:** Represent the given data using (a) Histogram, (b) Frequency polygon, (c) Frequency curve, and (d) Cumulative frequency curve (ogive).
Given data:
| Marks | 0-20 | 21-30 | 31-40 | 41-50 | 51-60 | 61-70 | 71-80 |
|-----------|-------|-------|-------|-------|-------|-------|-------|
| No. of students | 42 | 38 | 120 | 84 | 48 | 36 | 31 |
2. **Histogram:**
- A histogram is a bar graph representing frequency distribution.
- The x-axis represents the class intervals (marks).
- The y-axis represents the frequency (number of students).
- Each bar's height corresponds to the frequency of the class interval.
3. **Frequency Polygon:**
- Plot the midpoints of each class interval on the x-axis.
- Plot the corresponding frequencies on the y-axis.
- Connect the points with straight lines.
- Midpoints are calculated as $\frac{\text{lower limit} + \text{upper limit}}{2}$.
Calculate midpoints:
- 0-20: $\frac{0+20}{2} = 10$
- 21-30: $\frac{21+30}{2} = 25.5$
- 31-40: $\frac{31+40}{2} = 35.5$
- 41-50: $\frac{41+50}{2} = 45.5$
- 51-60: $\frac{51+60}{2} = 55.5$
- 61-70: $\frac{61+70}{2} = 65.5$
- 71-80: $\frac{71+80}{2} = 75.5$
4. **Frequency Curve:**
- Smooth curve drawn by joining the points of the frequency polygon.
- It represents the continuous distribution of frequencies.
5. **Cumulative Frequency Curve (Ogive):**
- Calculate cumulative frequencies by adding frequencies successively:
- 42, 42+38=80, 80+120=200, 200+84=284, 284+48=332, 332+36=368, 368+31=399
- Plot cumulative frequency against the upper class boundary:
- Upper boundaries: 20, 30, 40, 50, 60, 70, 80
- Join points with a smooth curve.
**Summary:**
- Histogram: Bars with heights 42, 38, 120, 84, 48, 36, 31 at intervals 0-20, 21-30, ..., 71-80.
- Frequency polygon: Points at midpoints (10, 25.5, 35.5, 45.5, 55.5, 65.5, 75.5) with frequencies connected by lines.
- Frequency curve: Smooth curve through frequency polygon points.
- Ogive: Cumulative frequencies plotted against upper class boundaries connected smoothly.
Final answer: The data can be represented graphically as described above.