**Histogram and Frequency Polygon for Runs Scored by the Winning Team in the Final Match**

To represent the runs scored by the winning team in the final match in different overs, we can create a histogram and a frequency polygon. A histogram is a graphical representation of data that uses rectangular bars to represent the frequency of each data range, while a frequency polygon is a line graph that represents the frequencies of the data points.

Here is how we can create a histogram and frequency polygon to represent the runs scored by the winning team in the final match in different overs:

**Step 1: Collect the Data**

First, we need to collect the data on the runs scored by the winning team in each over of the final match. Let's assume we have the following data:

Over 1: 5 runs
Over 2: 7 runs
Over 3: 2 runs
Over 4: 4 runs
Over 5: 6 runs
Over 6: 3 runs
Over 7: 8 runs
Over 8: 5 runs
Over 9: 7 runs
Over 10: 4 runs

**Step 2: Determine the Class Intervals**

Next, we need to determine the class intervals for our histogram. In this case, we can use class intervals of 0-2, 2-4, 4-6, 6-8, and 8-10. These class intervals will help us group the runs scored in each over.

**Step 3: Create the Histogram**

To create the histogram, we will plot the class intervals on the x-axis and the frequency (number of times the runs fall within each class interval) on the y-axis. We will draw rectangular bars to represent the frequency of each class interval.

The histogram for the runs scored by the winning team in the final match can be represented as follows:

```
Class Intervals Frequency
0-2 1
2-4 2
4-6 3
6-8 2
8-10 2
```

**Step 4: Create the Frequency Polygon**

To create the frequency polygon, we will plot the midpoints of each class interval on the x-axis and the frequency on the y-axis. We will then connect the points with straight lines to form the frequency polygon.

The frequency polygon for the runs scored by the winning team in the final match can be represented as follows:

```
Midpoints Frequency
1 1
3 2
5 3
7 2
9 2
```

Connecting these points will give us a frequency polygon that represents the distribution of runs scored by the winning team in different overs.

In conclusion, a histogram and frequency polygon can be used to represent the runs scored by the winning team in the final match in different overs. The histogram shows the frequency of runs within each class interval, while the frequency polygon represents the distribution of runs scored. These graphical representations provide a visual representation of the data and help in understanding the pattern and frequency of runs scored in the match.