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Grade 10 · Core Mathematics · Lesson 13 of 16

Interpreting Histograms and Frequency Polygons

A Grade 10 Core Mathematics CBE lesson from the sub-strand Statistics I. In it, learners construct a frequency distribution table from a histogram or frequency polygon.

Strand Statistics and ProbabilitySub-strand Statistics ILesson code 10CM-31-L1340 minutes · 3 slides

KICD learning outcome (e)

Interpret data from histograms and frequency polygons.

By the end of this lesson, learners should be able to

  1. Construct a frequency distribution table from a histogram or frequency polygon
  2. Identify the modal class from visual distributions
  3. Calculate the mean of grouped data presented in histograms and frequency polygons

Key vocabulary

Modal class
The class interval that contains the highest frequency in a grouped frequency dataset.
The modal class for avocado bag masses is 30–34 kg with sixteen bags.
Grouped mean
An estimate of the average found using class midpoints and their frequencies.
The grouped mean mass of avocado bags was calculated as 32.2 kg.
Class midpoint
The middle value of a grouped class interval found by averaging upper and lower limits.
The class midpoint for petrol purchases between 12.5 and 17.5 litres is 15 litres.
Frequency polygon
A line graph connecting class midpoints plotted against their respective frequency values.
The frequency polygon shows milk supply levels across forty local dairy farmers.

Lesson preview

Slide 1 · Extracting Frequency Tables and Means from HistogramsModel · 12 min
A histogram displays the frequency of various bag masses in kilograms, highlighting the tallest bar as the modal class.
Figure 1: A histogram displays the frequency of various bag masses in kilograms, highlighting the tallest bar as the modal class.

Histograms present continuous grouped data where rectangle widths match class boundaries and height reflects frequency. To find summary measures, extract a frequency table from the graph. The class interval with the tallest bar identifies the modal class. For the mean, multiply each class midpoint by its frequency, sum these products, and divide by total frequency.

  • Histograms display continuous grouped data using adjoining vertical bars drawn over exact class boundaries.
  • The modal class corresponds directly to the bar with the greatest height on the histogram.
  • Class midpoints are determined by averaging the lower and upper limits of each interval.
  • Calculating the grouped mean requires dividing the sum of midpoint-frequency products by the total frequency.
Worked example. Step 1: List classes, midpoints (x), and frequencies (f). 20–24: x=22,f=6 25–29: x=27,f=4 30–34: x=32,f=18 35–39: x=37,f=12 40–44: x=42,f=2 Step 2: Identify the modal class with highest f. f=18 corresponds to class 30–34 kg. Step 3: Compute f×x for each class and sum. (6×22)+(4×27)+(18×32)+(12×37)+(2×42)=132+108+576+444+84=1344 Step 4: Calculate total frequency N=6+4+18+12+2=42. Step 5: Divide total product by N: Mean=134442=32 kg. Answer: (a) Table prepared; (b) Modal class = 30–34 kg; (c) Mean mass = 32 kg..

Check question: A histogram has class intervals 10–14, 15–19, and 20–24 with frequencies 4, 10, and 6 respectively. What is the grouped mean?

  1. 15.5
  2. 17
  3. 17.5
  4. 19.5
Show answer

17.5. The midpoints (x) of the intervals are 12, 17, and 22. The products f×x are: 4×12=48, 10×17=170, and 6×22=132. The sum ∑fx=350. The total frequency N=4+10+6=20. The grouped mean is 35020=17.5.

Slide 2 · Interpreting Data from Frequency PolygonsPractice · 14 min
A frequency polygon shows petrol purchases, with frequencies plotted at class midpoints and connected by straight lines.
Figure 2: A frequency polygon shows petrol purchases, with frequencies plotted at class midpoints and connected by straight lines.

Teach the full lesson on the projector

This lesson, and every other Grade 1–10 CBE lesson, comes ready to project with the EAP ClassKit. It runs without electricity or internet.

  • All 3 slides with diagrams and class activities
  • Teacher notes, SNE adaptations and assessment checks
  • Homework and the other 15 lessons in this sub-strand

All 16 lessons in Statistics I

  1. 1Gathering Data from Practical SituationsCollect data from real-life sources
  2. 2Frequency Distribution Tables for Ungrouped and Grouped DataDraw a frequency distribution table for grouped and ungrouped data
  3. 3Drawing Grouped Frequency Distribution TablesDraw a frequency distribution table for grouped and ungrouped data
  4. 4Constructing Frequency Distribution Tables for Grouped and Ungrouped DataDraw a frequency distribution table for grouped and ungrouped data
  5. 5Calculating Averages and Middle Values of Raw DataDetermine mean, mode and median of grouped and ungrouped data
  6. 6Determining Median of Data and Introduction to Grouped Data MeanDetermine mean, mode and median of grouped and ungrouped data
  7. 7Determining Mean, Modal Class, and Median of Grouped DataDetermine mean, mode and median of grouped and ungrouped data
  8. 8Determining Mean, Mode, and Median of Grouped and Ungrouped DataDetermine mean, mode and median of grouped and ungrouped data
  9. 9Representing Data Using Histograms and Frequency PolygonsRepresent data using histograms and frequency polygons
  10. 10Constructing Histograms and Frequency PolygonsRepresent data using histograms and frequency polygons
  11. 11Advanced Data Representation: Histograms and Frequency PolygonsRepresent data using histograms and frequency polygons
  12. 12Interpreting Data from Histograms and Frequency PolygonsInterpret data from histograms and frequency polygons
  13. 13Interpreting Histograms and Frequency PolygonsInterpret data from histograms and frequency polygons
  14. 14Interpreting Histograms and Frequency PolygonsInterpret data from histograms and frequency polygons
  15. 15Data Collection, Organisation, and Informed Decision MakingPromote data collection, organisation and representation for informed decision making
  16. 16Data Interpretation and Decision MakingPromote data collection, organisation and representation for informed decision making