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Subsection 3.1.5 Interpretation of data

Interpretation of data is the process of examining and explaining the meaning of organized or represented data in order to draw conclusions, make decisions or solve problems.
Once data is collected and represented in tables, graphs or charts, we look for patterns, relationships and trends to understand what the data is telling us.

Subsubsection 3.1.5.1 Interpreting Histograms and Frequency Polygons of Data

Activity 3.1.7.

\(\textbf{Work in groups}\)
The histogram below represent a household’s daily water consumption (in liters) recorded over a month.
  1. Determine the day when the water consumption was high.
  2. Determine the day when the water consumption was low.
  3. Discuss and share with other group.

Key Takeaway 3.1.49.

  • Interpretation of data helps us understand collected information by finding patterns, trends, and connections so we can make better decisions.

Example 3.1.50.

The histogram below represents the ages of attendees recorded by the organizers at a community event.
  1. How many age groups are represented in the histogram?
  2. What is the total number of attendees recorded in the histogram?
  3. Which age group has the highest number of attendees?
Solution.
  1. By counting the number of bars in the histogram, we can determine the number of age groups.
    The bars are \(5\)
    Therefore, there were five age groups that attended the event.
  2. The total number of attendees is the sum of all frequencies (heights of the bars).
    \(50+25+40+35+15\) = \(165\)
    Therefore, the number of attendees were \(165\)
  3. The age group corresponding to the tallest bar has the highest number of attendees.
    Therefore, the age group \(10 - 15\) had the highest number of attendees, with a total of \(50\) participants.

Example 3.1.51.

The graph below represents a histogram and frequency polygon of the distribution of exam scores of students in a Grade 10 class.
  1. Describe the shape of the distribution of exam scores.
  2. What is the midpoint of the class interval \(70 - 85\text{?}\)
  3. Compare the height of the first bar (\(40 - 55\) score range) to the height of the last bar (\(85 - 95\) score range). What does this tell you about the number of students in those score ranges?
Solution.
  1. The distribution is skewed to the right (positively skewed).
  2. \(\displaystyle 77.5\)
  3. The first bar is much taller than the last bar. This means that many more students got scores in the \(40 - 55\) range than in the \(85 - 95\) range.

Exercises Exercises

1.
The following histogram shows sales of milk (in litres) sold by Akiru.
  1. What does the y-axis represent?
  2. What does the x-axis represent?
  3. Which day did Akiru
  4. Describe the shape of the histogram. Is it symmetrical or skewed? If skewed, is it skewed left or right?
2.
The following histogram shows the height of students in a grade 10 class.
Use the information from the graph to answer the following questions:
  1. Calculate the frequency of individuals with heights between \(145 \textbf{ cm}\) and \(155 \textbf{ cm}\) Show your working
  2. Identify the modal class.
  3. Estimate the total number of individuals represented in the histogram.
  4. Explain one difference between a histogram and a bar graph.
  5. Describe the overall shape of the height distribution shown in the histogram.
3.
Interpret the histogram and frequency polygon graph below and answer the questions given.
  1. Describe the overall shape of this rainfall distribution graph.
  2. At which rainfall ranges do the frequencies seem to decline?
  3. Calculate the total frequency across all rainfall ranges.
  4. What range of rainfall appears most frequently?
  5. Estimate the median rainfall range from this distribution.
  6. Which rainfall range appears to be the mode of this distribution?
  7. What might cause variations in rainfall distribution?

Checkpoint 3.1.52.

Checkpoint 3.1.53.