Ogive Graph Maker

Instructions: Use this Ogive Graph Maker to construct a cumulative frequency polygon based on a sample provided in the form of grouped data, with classes (organized in ascending order) and frequencies. Please type those classes and frequencies in the form below:

Classes or Values (Ex: 3 - 5, 8, etc. One per line)

More about this Ogive Graph Maker

The concept of give comes related with the concept of cumulative frequency graph. Indeed, ogive is short name for a cumulative frequency polygon.

Using a cumulative polygon is a way of assessing which how the frequencies of the classes stack up in relative terms, given you yet another dimension of distribution you are studying.

Graphically, an ogive looks like:

Ogive Graph maker

How do you construct an ogive chart?

There are several steps, but it is essentially the same procedure as the one followed to construct a frequency polygon , only with an added step:

Step 1 : You need to have the classes and their corresponding frequencies, where the classes are in ascending order.

Step 2 : You need to construct the cumulative frequency for each class, by adding all the frequencies up to a given class.

Step 3 : The classes go on the X-axis, and the associated cumulative frequencies go on the Y-axis. Then you graph all the points (X, Y) corresponding to the classes and the cumulative frequencies. For a class, the X point is build on the midpoint of the class.

Step 4 : Join these (X, Y) points together using straight lines, with the points in the foremost left first, and moving to the right.

These are the steps followed by our ogive maker, and the end result will look like the graphs shown above. To complete the same task, you can use any statistics software packages, including Minitab, Excel and SPSS.

Related chart makers

Typically, the measures of descriptive statistics come along with different charts that represent the distribution of the sample drawn.

Different charts you may be interested in are the histogram and the box plot , which provide a clear snap view of basic parameters of a distribution.

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