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Ogive

By Jim Frost

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An ogive is a graph that shows the cumulative relative frequency of a dataset. It helps visualize how data values accumulate across intervals, making it easier to understand percentiles, medians, and the general shape of a distribution.

Ogives are especially useful for answering questions like “What percentage of values fall below a certain point?” or “At what value do 50% of observations fall below?” They are commonly used in introductory statistics and data summaries alongside histograms and frequency tables.

How to create an ogive:

  1. Organize the data into ordered intervals (such as score ranges).
  2. Calculate the cumulative relative frequency for each interval.
  3. Plot points using the upper boundary of each interval on the x-axis and the cumulative relative frequency on the y-axis.
  4. Connect the points with straight lines.

Ogives always rise from left to right because cumulative frequencies increase (or at least stay the same). The graph ends at a cumulative relative frequency of 1 (or 100%).

For example, a teacher creates an ogive based on quiz score ranges from a class of 40 students. By plotting the cumulative relative frequencies at the upper boundaries of each score range (e.g., 60, 70, 80, 90, 100), the ogive shows that 75% of students scored 90 or below, and 45% scored 80 or below. The median score range corresponds to the point where the graph reaches 0.5 on the y-axis.

An ogive that graphically displays the cumulative relative frequency of test scores.

Related

Related Articles:
  • Cumulative Frequency: Finding & Interpreting
  • Glossary: Cumulative Relative Frequency
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