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D1.2 · Collect and organize qualitative and quantitative data using percentages

Learn to collect and organize qualitative and quantitative data using percentages through clear examples and targeted practice.

Ontario Grade 7 Mathematics

Data

Grade 7 Mathematics · D1.2

A class wants to learn how students get to school. Some answers might be “walk” or “bus.” These are words, not measurements. Other questions, such as “How many minutes did you travel?”, produce numbers. Both kinds of answers are data. Data are facts or answers collected to learn about a question. In this lesson, you will practise collecting and organizing data, then show each category as a percentage of the total.

What you will learn

  • Collect qualitative or quantitative data by asking a clear question and recording responses.
  • Organize responses into categories and find how many belong in each category.
  • Use percentages to show how each category compares with the total.

1. Choose a question and collect data

A data question should make clear what answer is needed. For example, “Which kind of book did you read most recently?” asks for a type of book. Answers such as mystery, fantasy, or graphic novel are qualitative data. Qualitative data describe a quality or name a group. The answers are words or labels.
A question such as “How many books did you read last month?” asks for a number. Answers such as 0, 1, or 2 are quantitative data. Quantitative data are counts or measurements written as numbers.
Before collecting answers, decide who will answer and how you will record each response. A tally is a quick mark made for each response. Keep the question the same for everyone. Do not add answers that were not collected.
  • Qualitative data name or describe groups.
  • Quantitative data are counts or measurements.
  • A tally records each response once.

2. Organize responses into categories

A category is a group used to sort answers. For qualitative data, each answer can go into its matching category. For quantitative data, you can record each number or place numbers into clear ranges when that helps organize many responses. A range is a group of numbers with stated lower and upper limits.
A frequency is the number of responses in a category. To find it, count the tallies in that category. Then add the category frequencies. Their sum should match the number of responses collected. This total is important because it is the whole group used to find percentages.
A table can keep the categories, tallies, frequencies, and percentages together. Check that each response is counted once and only once. If a response does not fit a category, review the categories or the response instead of quietly leaving it out.
  • A category sorts responses into a group.
  • Frequency means the number of responses in a category.
  • The category frequencies should add to the total number of responses.

3. Find and use percentages

A percentage tells how many out of every 100. The symbol % means “per 100.” To find a category's percentage, compare its frequency with the total frequency. Divide the category frequency by the total, then multiply by 100. For example, 8 out of 20 is 40 percent because 8 divided by 20 is 0.4, and 0.4 multiplied by 100 is 40.
The total frequency is the denominator in the comparison. It must include all responses in the data set. If the total changes, the percentage may change even when a category's frequency stays the same.
Percentages are useful for organizing and comparing categories. When every response belongs to exactly one category, the category percentages should add to 100 percent, allowing for small differences caused by rounding. For whole-number percentages that divide exactly, there is no rounding difference.
A bar chart can show categories and their percentages. Each bar represents one category, and its height shows the percentage. A circle graph can also show categories as parts of a whole. Its slices represent percentages that together make 100 percent. Choose a display that clearly labels the categories and the data.
percentage=category frequencytotal frequency×100%\text{percentage} = \frac{\text{category frequency}}{\text{total frequency}} \times 100\%
  • Percentage = category frequency divided by total frequency, then multiplied by 100.
  • Use the whole data set as the total.
  • Label the categories and state that the display shows percentages.

Example 1: Organizing poll responses

ActivityFrequencyPercentage
Art840%
Sports735%
Music525%
Total20100%

Worked example

Example 1: Qualitative data from a class poll

A hypothetical poll asks 20 students which of three after-school activities they prefer. The recorded answers are: art, 8; sports, 7; music, 5. Organize the results as percentages.
Preferred after-school activity
Preferred after-school activityHypothetical poll of 20 students. Each slice is labelled with its category and percentage.Art: 40%Sports: 35%Music: 25%Hypothetical data

Hypothetical poll of 20 students. Each slice is labelled with its category and percentage.

  1. Identify the data
    The answers are activity names, so they are qualitative data. Each activity is a category. The given counts are the frequencies.
  2. Check the total
    Add the three frequencies. They add to 20, which matches the number of students in the poll.
    8+7+5=208 + 7 + 5 = 20
  3. Find each percentage
    Compare each category's frequency with the total of 20. For art, 8 divided by 20 is 0.4, or 40 percent. Use the same total for the other categories.
    820×100%=40%,720×100%=35%,520×100%=25%\frac{8}{20}\times100\%=40\%,\quad \frac{7}{20}\times100\%=35\%,\quad \frac{5}{20}\times100\%=25\%
Answer: Art: 40%; sports: 35%; music: 25%.
Check: The percentages add to 100%, so they account for all 20 responses.

Worked example

Example 2: Quantitative data organized in ranges

A hypothetical group of 20 students records how many minutes they read on one evening. The results are organized into these ranges: 0–9 minutes, 5 students; 10–19 minutes, 10 students; 20–29 minutes, 5 students. Find the percentage in each range.
Reading time for one evening
Reading time for one eveningHypothetical data for 20 students. Bar heights show the percentage in each reading-time range.25 %0–9 min50 %10–19 min25 %20–29 min

Hypothetical data for 20 students. Bar heights show the percentage in each reading-time range.

  1. Identify the data and categories
    Reading time is measured in minutes, so it is quantitative data. The ranges are the categories. Each student belongs in the range that includes their reading time.
  2. Confirm the total
    Add the frequencies to check that all 20 students are counted.
    5+10+5=205 + 10 + 5 = 20
  3. Convert each frequency to a percentage
    Use 20 as the total each time. Five out of 20 is 25 percent, and ten out of 20 is 50 percent.
    520×100%=25%,1020×100%=50%,520×100%=25%\frac{5}{20}\times100\%=25\%,\quad \frac{10}{20}\times100\%=50\%,\quad \frac{5}{20}\times100\%=25\%
Answer: The ranges 0–9, 10–19, and 20–29 minutes represent 25%, 50%, and 25%, respectively.
Check: The percentages total 100%. The middle range has the greatest frequency and percentage.

Worked example

Example 3: Organize a small set of numeric responses

A hypothetical survey asks 12 students how many pets live in their home. The answers are: 0, 1, 2, 1, 0, 3, 1, 2, 0, 1, 2, 0. Organize the answers by number of pets and find each percentage.
Number of pets reported
Number of pets reportedHypothetical survey of 12 students. Percentages are rounded to the nearest whole percent.33 %0 pets33 %1 pet25 %2 pets8 %3 pets

Hypothetical survey of 12 students. Percentages are rounded to the nearest whole percent.

  1. Count each response
    The answers are numbers, so they are quantitative data. Count how often each number appears. There are four 0s, four 1s, three 2s, and one 3.
    4+4+3+1=124 + 4 + 3 + 1 = 12
  2. Use 12 as the total
    The total is 12 because 12 students answered. Divide each frequency by 12 and multiply by 100. The results include repeating decimal values, so round to the nearest whole percent.
    412×100%≈33%,312×100%=25%,112×100%≈8%\frac{4}{12}\times100\%\approx33\%,\quad \frac{3}{12}\times100\%=25\%,\quad \frac{1}{12}\times100\%\approx8\%
  3. Report the organized results
    The rounded percentages show the share of students in each group. Because the values were rounded, their sum may differ slightly from 100 percent.
    33%+33%+25%+8%=99%33\% + 33\% + 25\% + 8\% = 99\%
Answer: 0 pets: about 33%; 1 pet: about 33%; 2 pets: 25%; 3 pets: about 8%.
Check: The frequencies add to 12. The percentages total 99% because three values were rounded to whole percentages.

Common mistakes and how to avoid them

Dividing a category frequency by a number other than the total responses.
Correction: First add all category frequencies. Use that total for every percentage.
Treating a category name, such as “music,” as a number.
Correction: The name is qualitative data. Its frequency is the number that can be used to find its percentage.
Expecting rounded percentages to always add to exactly 100%.
Correction: Rounding can make the sum slightly above or below 100%. State when percentages are approximate.
Counting one response in two categories or leaving a response out.
Correction: Make categories clear and check that each response is counted once. The frequencies should add to the number of responses.

Lesson summary

  • Collect answers by asking a clear question and recording each response.
  • Qualitative data use names or descriptions; quantitative data use numbers.
  • Organize responses into categories and count each category's frequency.
  • Find a category percentage by dividing its frequency by the total and multiplying by 100.
  • Check the total and label any display clearly. Rounded percentages may not add to exactly 100%.

Check your understanding

Question 1

A hypothetical poll has 24 responses. Six responses are in the “walk” category. What percentage chose walk?
  1. 6%
  2. 18%
  3. 25%
  4. 75%
Show answer and explanation
25%
Six divided by 24 is 0.25. Multiplying by 100 gives 25%.

Question 2

Which answer is qualitative data?
  1. The number of minutes spent reading
  2. The number of books borrowed
  3. A preferred type of music
  4. The number of students in a group
Show answer and explanation
A preferred type of music
A preferred type of music is a name or label. The other answers are numbers.

Question 3

A group has 10 responses in one category and 40 responses altogether. What is the category percentage?
  1. 4%
  2. 25%
  3. 40%
  4. 50%
Show answer and explanation
25%
Ten divided by 40 is 0.25. Multiplying by 100 gives 25%.

Key terms

Data
Facts or answers collected to learn about a question.
Qualitative data
Data that name or describe a group or quality.
Quantitative data
Data written as numbers, such as counts or measurements.
Category
A group used to sort responses.
Frequency
The number of responses in a category.
Percentage
A way to describe an amount out of 100.
Tally
A quick mark used to record one response.

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