Ogives, also known as cumulative frequency curves, depict the cumulative frequency of a dataset.
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They are useful in visualizing the distribution of values and identifying patterns. To construct an ogive, follow these steps:
- Prepare your data:
- Arrange your data in ascending order.
- Create a table with columns for the data values and their corresponding frequencies.
- Calculate cumulative frequencies:
- Add up the frequencies as you go down the list. The last entry in the cumulative frequency column should be the total frequency.
- Construct the ogive:
- Use a graphing tool or paper to create a set of axes. Label the horizontal axis with your data values and the vertical axis with cumulative frequencies.
- Plot points corresponding to each data value and its cumulative frequency.
- Connect the points:
- Use a line or a smooth curve to connect the plotted points. This line represents the ogive.
Here’s a simple example:
Data Value | Frequency |
---|---|
10 | 4 |
15 | 6 |
20 | 8 |
25 | 12 |
30 | 15 |
- Calculate cumulative frequencies:
Data Value | Frequency | Cumulative Frequency |
---|---|---|
10 | 4 | 4 |
15 | 6 | 10 |
20 | 8 | 18 |
25 | 12 | 30 |
30 | 15 | 45 |
- Plot the points (10, 4), (15, 10), (20, 18), (25, 30), and (30, 45) on the graph and connect them to form the ogive.