Handling data

Data handling involves collecting, organizing, analyzing, and interpreting data.

Example: Favorite Fruits of Students in Class 1

  1. Collecting Data:

    • Ask each student to name their favorite fruit.
    • Record the responses.
  2. Organizing Data:

    • Create a list or table to organize the collected data.
  3. Analyzing Data:

    • Count how many students chose each fruit.
  4. Interpreting Data:

    • Determine which fruit is the most and least popular.

Steps in Detail:

1. Collecting Data

Let’s say there are 10 students in Class 1, and their favorite fruits are recorded as follows:

  • Student 1: Apple
  • Student 2: Banana
  • Student 3: Apple
  • Student 4: Orange
  • Student 5: Banana
  • Student 6: Apple
  • Student 7: Orange
  • Student 8: Banana
  • Student 9: Apple
  • Student 10: Grape

2. Organizing Data

Create a table to organize the data:

StudentFavorite Fruit
1Apple
2Banana
3Apple
4Orange
5Banana
6Apple
7Orange
8Banana
9Apple
10Grape

3. Analyzing Data

Count the occurrences of each fruit:

FruitCount
Apple4
Banana3
Orange2
Grape1

4. Interpreting Data

From the count, we can interpret the data:

  • Most popular fruit: Apple (4 students)
  • Least popular fruit: Grape (1 student)

 

Example

Untitled design 3

Count and write how many-

30

- 12

31

- 5

32

- 3

33

- 8

34

- 5

1. Which shape is most in numbers – _______  

2. Which two shape are the same in  numbers – _______ and _________.

3. Which shape is least in numbers – ______

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