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An ogive graph, also called a cumulative frequency polygon, displays cumulative frequency on the vertical axis and class boundaries on the horizontal axis. Unlike histograms that use rectangles, ogive graphs plot single points connected by continuous lines, where each point represents the cumulative frequency below its respective class boundary.

Cumulative frequency is calculated by summing the frequencies of the current class and all preceding classes. For example, if 10 customers bought cameras under $79.50 and 8 more bought cameras between $79.50 and $99.50, the cumulative frequency for the $99.50 boundary is 18. This process repeats for each class boundary in the cumulative frequency distribution.

An ogive graph uses class boundaries along the horizontal x-axis and cumulative frequencies along the vertical y-axis. Class boundaries separate classes without gaps, ensuring precise data representation. Each plotted point corresponds to a specific class boundary and its associated cumulative frequency value from the frequency table.

Ogive graphs are primarily used to find the median of a data set and compute percentiles. By reading values from the cumulative frequency curve, analysts can determine what percentage of data falls below any given class boundary, making it valuable for understanding data distribution and identifying key statistical measures.

To construct an ogive graph, extract class boundaries and calculate cumulative frequencies from your frequency table. Plot each class boundary on the x-axis with its corresponding cumulative frequency on the y-axis. Connect the plotted points with a continuous line. This process is generally easier than creating other frequency visualizations and requires careful attention to class boundary placement.

An ogive graph displays cumulative percentages added from left to right, allowing you to visually identify what percentage of observations fall below any given value. By locating a specific percentile on the y-axis and reading across to the curve, then down to the x-axis, you can determine the corresponding class boundary value for that percentile.

While a histogram uses rectangles to show individual class frequencies, an ogive graph plots single points at the cumulative frequency for each class boundary and connects them with lines. This continuous representation emphasizes the cumulative nature of the data and makes it easier to read cumulative values and percentiles directly from the graph.