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Grade 10 · Core Mathematics · Lesson 2 of 16

Frequency Distribution Tables for Ungrouped and Grouped Data

A Grade 10 Core Mathematics CBE lesson from the sub-strand Statistics I. In it, learners organise raw discrete data into an ungrouped frequency distribution table using tally marks.

Strand Statistics and ProbabilitySub-strand Statistics ILesson code 10CM-31-L240 minutes · 3 slides

KICD learning outcome (b)

Draw a frequency distribution table for grouped and ungrouped data.

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

  1. Organise raw discrete data into an ungrouped frequency distribution table using tally marks.
  2. Construct a grouped frequency distribution table given specified class intervals.
  3. Verify dataset totals by calculating total frequency.

Key vocabulary

Frequency
The total number of times a particular data value appears in a collection.
If five learners score eight points in a quiz, the score eight has frequency five.
Tally mark
A stroke used to record counts, bundled in groups of five with a diagonal line.
The count of six items is written using tally marks as five bundled plus one.
Ungrouped data
Raw observations listed individually without combining them into class intervals or ranges.
Listing each family's exact goat count gives ungrouped data ready for tallying.
Grouped data
Data organised into combined numerical ranges called class intervals to simplify large sets.
Sorting test scores into class intervals like 10 to 14 forms grouped data.
Class interval
A defined sub-range of values used to group continuous or wide-ranging numerical data.
The class interval 10 to 14 includes all values from ten up to fourteen.

Lesson preview

Slide 1 · Constructing Ungrouped Frequency Distribution TablesOpening · 12 min
This frequency distribution table displays scores, tally marks, and total frequencies for ungrouped data.
Figure 1: This frequency distribution table displays scores, tally marks, and total frequencies for ungrouped data.

Raw data gathered from experiments or surveys can be difficult to interpret when left unorganised. A frequency distribution table for ungrouped data arranges each distinct entry alongside its tally marks and total count. Tally marks are drawn as vertical strokes, with every fifth stroke crossing four previous lines diagonally to form a neat group. Summing all frequencies gives the total number of observations in the dataset.

  • Ungrouped data lists each individual observation without placing values into combined numerical ranges.
  • A frequency distribution table displays distinct values, corresponding tally marks, and total counts clearly.
  • Tally marks group counts into bundles of five using four vertical strokes and one diagonal line.
  • The total frequency equals the sum of all individual counts and matches the sample size.
Worked example. Identify distinct scores: 5, 6, 7, and 8. Tally each score from the raw data set: Score 5 occurs 6 times (卌 |), Score 6 occurs 7 times (卌 ||), Score 7 occurs 4 times (||||), and Score 8 occurs 3 times (|||). Write down the corresponding frequencies: 6, 7, 4, and 3. Sum the frequencies to confirm the total: 6 + 7 + 4 + 3 = 20. Answer: Table with columns Score, Tally, Frequency: 5 → 卌 | (6); 6 → 卌 || (7); 7 → |||| (4); 8 → ||| (3); Total frequency = 20..

Check question: In a survey of 15 learners, the numbers of books read were: 1, 2, 1, 3, 2, 1, 4, 2, 1, 3, 2, 1, 2, 1, 3. What is the frequency of reading exactly 1 book?

  1. 1
  2. 5
  3. 6
  4. 15
Show answer

6. Counting the occurrences of the number 1 in the given list: 1 appears exactly 6 times. Therefore, its frequency is 6.

Slide 2 · Organising Discrete Data into Frequency TablesModel · 14 min
This frequency distribution table summarises family goat counts using tally marks and numerical frequencies.
Figure 2: This frequency distribution table summarises family goat counts using tally marks and numerical frequencies.

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