Understanding Data Types: Grouped vs Ungrouped

Grouped data organizes raw data into intervals

1. Grouped data involves organizing raw data into different classes or intervals. This method is used to simplify the data analysis process by categorizing data points into specified ranges.
2. An example of grouped data is provided with the heights of 12 students measured in centimeters. These heights are grouped into intervals: 121-125 cm with 2 students, 126-130 cm with 2 students, 131-135 cm with 3 students, 136-140 cm with 3 students, and 141-145 cm with 2 students.
3. Each interval in the grouped data example has the same class width, which is 4 centimeters. This uniformity in class width helps in maintaining consistency in data representation.
4. Ungrouped data, on the other hand, refers to data that is not categorized into any groups or intervals. It is presented in its raw form without any classification.
5. An example of ungrouped data is given with the heights of 9 students, where each height is listed individually without grouping into intervals.