**Data for Runs Scored by the Winning Team in the Final Match**

To draw a histogram and frequency polygon to represent the runs scored by the winning team in the final match in different overs, we need the data for runs scored in each over. Let's assume the following data for the runs scored by the winning team:

- 0 - 2 overs: 10 runs
- 2 - 4 overs: 22 runs
- 4 - 6 overs: 18 runs
- 6 - 8 overs: 14 runs
- 8 - 10 overs: 20 runs
- 10 - 12 overs: 26 runs
- 12 - 14 overs: 16 runs
- 14 - 16 overs: 12 runs
- 16 - 18 overs: 10 runs
- 18 - 20 overs: 8 runs

**Drawing the Histogram and Frequency Polygon**

To draw the histogram and frequency polygon, we will plot the class intervals (overs) on the x-axis and the frequency (runs scored) on the y-axis.

1. **Histogram**:
A histogram is a graphical representation of the distribution of data. In this case, the histogram will show the frequency of runs scored in different overs.

- Draw a horizontal x-axis and a vertical y-axis.
- Mark the class intervals (overs) on the x-axis: 0-2, 2-4, 4-6, 6-8, 8-10, 10-12, 12-14, 14-16, 16-18, and 18-20.
- Mark the frequency (runs scored) on the y-axis.
- For each class interval, draw a rectangle whose height represents the frequency (runs scored).
- The width of each rectangle should be proportional to the class interval width.
- So, for the first class interval (0-2), draw a rectangle with a height of 10 (representing the frequency of 10 runs) and a width of 2 (class interval width).
- Repeat this for each class interval, drawing rectangles with heights corresponding to the frequencies.
- The resulting graph will be a histogram representing the runs scored in different overs.

2. **Frequency Polygon**:
A frequency polygon is a line graph that represents the data points by connecting the midpoints of the top of each rectangle in the histogram.

- Calculate the midpoint of each class interval.
- For the first class interval (0-2), the midpoint would be 1.
- Connect these midpoints with straight lines to form a polygon.
- The resulting graph will be a frequency polygon representing the runs scored in different overs.

By drawing both the histogram and frequency polygon, we can visually represent the distribution of runs scored by the winning team in the final match in different overs.