CATEGORICAL DATA
Definition Of Categorical Data
In Categorical Data, a set of data is sorted or divided into different categories, according to the attributes of the data.
More About Categorical Data
Categorical data are always nominal whereas nominal data need not be categorical.
Video Examples: Categorical data
Example of Categorical Data
The following diagram shows the different colored toys placed in two different shelves.
These toys can be sorted according to their color in different categories as:
Solved Example on Categorical Data
Ques: The table shows the details of the hair color and eye color of a number of students in a class. Find the total number of students with black hair, ignoring the eye color.
Choices:
A. 6
B. 4
C. 5
D. 3
Correct Answer: C
Solution:
Step 1: To find the total number of students with black hair, ignoring their eye color, you just have to add the number along the column labeled 'Black'.
Step 2: = 2 + 1 + 1 + 1 = 5
Step 3: So, the total number of students with black hair, ignoring the eye color, is 5.
Quick Summary
- Categorical data is sorted into categories.
- Categories are based on attributes of the data.
🍎 Teacher Insights
Use real-world examples and hands-on activities to help students understand the concept of categorical data. Emphasize the difference between categorical and numerical data.🎓 Prerequisites
- Basic understanding of data
- Sorting and classification skills
Check Your Knowledge
Q1: Which of the following is an example of categorical data?
Q2: In a survey, students were asked about their favorite subject. Which type of data would this represent?
Frequently Asked Questions
Q: What are some examples of categorical data?
A: Examples include hair color, eye color, types of fruit, and brands of cars.
Q: Is categorical data always nominal?
A: Categorical data is always nominal, but nominal data need not always be categorical (this statement is debatable, ordinal data is sometimes considered categorical)