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Posted on April 19, 2022 (Updated on August 5, 2025)

How do you draw a frequency polygon for grouped data?

Natural Environments

Frequency Polygons: Making Sense of Grouped Data (Without the Headache)

Okay, so you’ve got a bunch of data, and it’s all…grouped. Think test scores in ranges, or maybe the ages of people at a concert. How do you make sense of it all visually? Enter the frequency polygon – a nifty little graph that can turn that jumbled mess into something you can actually understand.

Basically, a frequency polygon is a line graph showing how your grouped data is spread out. It’s like a cousin to the histogram, but instead of bars, you get a line snaking its way across the page. Trust me, it’s not as intimidating as it sounds.

First Things First: The Ground Rules

Before we start drawing lines, let’s get the lingo down:

  • Grouped Data: This is your data, chunked into categories or “classes.” Imagine sorting those concert-goers into age groups: 18-25, 26-35, and so on.
  • Class Interval: That’s just the range of each group (like that 18-25 age range).
  • Frequency: How many data points fall into each group. So, how many people were actually in that 18-25 age bracket? That’s your frequency.
  • Midpoint (Class Mark): This is the sweet spot of each class interval. You find it by averaging the top and bottom of the range. (Upper Limit + Lower Limit) / 2.

Drawing Your Polygon: Step by Step

Alright, grab your (virtual) graph paper, and let’s do this:

  • Get Organized: The Frequency Distribution Table: First, you need to wrangle your data into a table. List your class intervals and how often each one appears (the frequencies).

  • Find the Sweet Spot: Calculate the Midpoints: Remember that midpoint thing? Time to put it into action. Add the upper and lower limits of each class, divide by two, and boom – you’ve got your midpoint. For instance, if your class interval is 20-30, the midpoint is (20+30)/2 = 25. Easy peasy.

  • Draw the Axes: Now, draw a line horizontally (the x-axis) and another one vertically (the y-axis). The x-axis is where your midpoints will live, and the y-axis is for your frequencies. Make sure your scales are wide enough to fit all your data!

  • Plot the Points: This is where the magic happens. For each class, find its midpoint on the x-axis and then go up to the corresponding frequency on the y-axis. Put a dot there.

  • Connect the Dots: Grab a ruler (or don’t, if you’re feeling rebellious) and connect those dots with straight lines. You should start to see a shape emerging!

  • Close the Deal: Completing the Polygon: Here’s the slightly weird part. To make it a polygon (a closed shape), you need to bring the lines down to the x-axis on both ends. Basically, you’re adding “imaginary” classes with zero frequency. To do this, figure out the class width (how wide each interval is). Then, subtract that width from your smallest midpoint to get the x-coordinate for your first zero-frequency point. Add the width to your largest midpoint to get the x-coordinate for the last one. Plot those points, and connect ’em up!

  • Example Time!

    Let’s say we’re tracking the heights of students:

    Height (cm)Frequency150-1555155-16010160-16515165-1708170-1752

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