Grouped Data
- Grouped Data is an important concept in handling large datasets and simplifying data comprehension.
- It involves organising data into classes or intervals, so each data point falls into a specific category.
- Grouping is commonly done by dividing data into equal class intervals.
- It’s essential to find the right group size as too few or too many may mess up data interpretation.
- Grouped data is useful in creating frequency distributions, histograms, and cumulative frequency graphs.
- Appropriate groupings make trends and patterns in complex datasets easily discernible, aiding accurate analysis and interpretation.