Frequency diagrams are visual representations of data collected in a table format. They help us understand how often certain values occur within a dataset. Here's a step-by-step guide to creating and interpreting frequency diagrams:
For instance, imagine you have a dataset of student scores in a class. The highest frequency is in the range of 80-90. You would draw a vertical axis with appropriate markings up to 90. The horizontal axis could represent score ranges (e.g., 0-10, 10-20, etc.). Each bar's height would represent how many students scored within that range.
A student measured the hand spans of 40 pupils and recorded the data.
To construct the diagram, identify the largest frequency, set vertical axis scale accordingly, and determine the horizontal axis range.
Draw and label the vertical axis with appropriate intervals for 'Frequency'. Similarly, label and number the horizontal axis for 'Hand span'.
![]() Image Caption: A student recorded the length of 40 pupils' hand spans. Construct a frequency diagram based on the data. |
![]() Image Caption: First, identify the largest frequency. The largest frequency is 12. Therefore, the scale on the vertical axis must go up to at least 12. The smallest and largest value for the horizontal scale are 14 and 24 centimetres. The horizontal axis will need to include this range. |
![]() Image Caption: Now draw the vertical axis and number it in regular intervals. In this example, the scale is increasing in increments of two. Label the axis as 'Frequency'. Draw the horizontal axis and number it in regular intervals. In this example, the scale is increasing in increments of two. A false origin has also been used. Label the axis appropriately. In this example, the label is 'Hand span'. |
Bar graphs are visual representations of data using bars of different heights.
Each bar corresponds to a range of values and its height represents the frequency of data points falling within that range.
For instance, a bar between 16 and 18 with a height of 11 indicates there are 11 data points in the range 16 to 18.
A frequency polygon connects the midpoints of the class intervals with line segments.
Instead of bars, points are plotted and connected by line segments.
It allows for easy comparison between different datasets on the same graph.
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Slide 1 of 9 , Example one. Creating a frequency diagram. An image of a grouped frequency table. The table has two columns and six rows. The first column is labelled, hand span, measured in centimetres, and is populated with the groups, fourteen is less than h, is less than or equal to sixteen. Sixteen is less than h, is less than or equal to eighteen. Eighteen is less than h, is less than or equal to twenty. Twenty is less than h, is less than or equal to twenty two. Twenty two is less than h, is less than or equal to twenty four. The second column is labelled frequency and is populated with the numbers, six, eleven, twelve, seven, and four. The cells for the labels are coloured dark grey. , A student recorded the length of 40 pupils’ hand spans. Construct a frequency diagram based on the data.
Slide 1 of 9 , Example one. Creating a frequency diagram. An image of a grouped frequency table. The table has two columns and six rows. The first column is labelled, hand span, measured in centimetres, and is populated with the groups, fourteen is less than h, is less than or equal to sixteen. Sixteen is less than h, is less than or equal to eighteen. Eighteen is less than h, is less than or equal to twenty. Twenty is less than h, is less than or equal to twenty two. Twenty two is less than h, is less than or equal to twenty four. The second column is labelled frequency and is populated with the numbers, six, eleven, twelve, seven, and four. The cells for the labels are coloured dark grey. , A student recorded the length of 40 pupils’ hand spans. Construct a frequency diagram based on the data.
Manufacturers use testers and statisticians to evaluate new products before releasing them to the public. Statisticians analyze data to estimate product lifespan based on variations in manufacturing.
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