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Histograms | Mathematics for GCSE/IGCSE - Year 11 PDF Download

Frequency Density

What is frequency density?

  • Frequency density is calculated using the formula:
    • Frequency density = frequency / class width
  • It is used with grouped data (class intervals).
  • Frequency density is particularly useful for class intervals of unequal width.
  • It measures how spread out data within a class interval is, relative to its size.
  • Example:
    • 10 data values over a class interval of 20:
      • Frequency density = 10 / 20 = 1/2
    • 20 data values over a class interval of 100:
      • Frequency density = 20 / 100 = 1/5
  • Since 1/2 is greater than 1/5, the data in the first interval is more densely spread (closer together) than in the second interval, even though the second interval has more data values.

How do I calculate frequency density?

  • Questions typically present grouped data in a table.
  • Add two extra columns to this table:
    • One column for calculating and recording the class width of each interval.
    • A second column for calculating the frequency density for each group (row).

Drawing Histograms

What is a Histogram? 

  • Histograms are not just really hard bar charts; they serve a distinct purpose.
  • Unlike bar charts which handle discrete and non-numerical data, histograms are designed for continuous data, often organized in uneven class intervals.
  • In a bar chart, frequency is determined by height or length, while in a histogram, it's the area of a bar that signifies the frequency.
  • The frequency of a class interval is directly linked to the area of the bar representing that interval.
  • Merely glancing at a histogram doesn't reveal much; one needs to perform basic calculations for meaningful conclusions and comparisons.

How do I draw a histogram?

  • To draw a histogram, first calculate the frequency densities for each class interval (group).
    • Most questions will require you to complete an incomplete histogram rather than starting from scratch.
  • Since frequency is proportional to frequency density:
    Histograms | Mathematics for GCSE/IGCSE - Year 11
  • In most cases, k = 1, so the proportionality can be ignored.
  • Once the frequency densities are calculated:
    • Draw bars (rectangles) with widths measured on the horizontal (x) axis.
    • The height of each bar represents the class's frequency density and is measured on the vertical (y) axis.
    • As the data is continuous, the bars will be touching.

Question for Histograms
Try yourself:
What is the formula for calculating frequency density?
View Solution

Interpreting Histograms

How do I interpret a histogram?

  • The frequency density (y-) axis does not indicate frequency directly.
  • The area of the bar is proportional to the frequency.
  • Frequency is determined by the area of the bar using:
    • Frequency = area
  • To estimate the frequency of part of a bar/class interval within a histogram:
    • Find the area of the required part of the interval.
    • Use the area to calculate the frequency as described above.
The document Histograms | Mathematics for GCSE/IGCSE - Year 11 is a part of the Year 11 Course Mathematics for GCSE/IGCSE.
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FAQs on Histograms - Mathematics for GCSE/IGCSE - Year 11

1. What is frequency density in the context of histograms?
Ans. Frequency density in histograms refers to the number of data points within a particular interval divided by the width of that interval. It is used to compare the distribution of data across different intervals.
2. How can histograms be drawn to represent data effectively?
Ans. To draw a histogram, you need to first determine the intervals or bins you will use to group your data. Then, you plot the frequency of data points within each interval as bars on a graph, with the height of each bar representing the frequency density.
3. How can histograms be interpreted to understand the distribution of data?
Ans. By looking at the shape of a histogram, you can determine if the data is skewed to the left or right, if it is symmetric, or if it follows a particular pattern. Additionally, you can analyze the spread and central tendency of the data based on the histogram.
4. What is the difference between frequency and frequency density in histograms?
Ans. Frequency in histograms refers to the actual count of data points within an interval, while frequency density takes into account the width of the interval to provide a more accurate representation of how data is distributed within each interval.
5. How can histograms be used to compare different data sets?
Ans. Histograms can be used to visually compare the distribution of data in different sets by plotting them on the same graph. This allows for easy comparison of the shape, spread, and central tendency of the data sets.
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