If the observations are grouped together into classes, then the number of observations for each class gives the grouped frequency distribution (FD). This kind of FD is particularly important when the data are continuous so that you are likely to have very small frequencies for a very large number of values.
Non-continuous data is called discrete data.
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Grouped data.
For discrete data, a bar chart. For continuous data a grouped frequency chart (histogram).
Not sure what a "grouped of data" means!
Data can be grouped or ungrouped. The categories data are grouped in depend on the data. For example, data collected about people could be grouped as male/female, by ages, or some other common characteristic. Data collected about dogs could be grouped by breed of dog, age, long hair/short hair, or size.
Grouped means the grouping of relevant data after analysis. When raw data is analyzed in proper and meaningful way then its transformed into groups and these groups are known as grouped data.
Ungrouped data is data that is not grouped in a specific order. Grouped data is a set of data that has unique characteristics in common.
If the observations are grouped together into classes, then the number of observations for each class gives the grouped frequency distribution (FD). This kind of FD is particularly important when the data are continuous so that you are likely to have very small frequencies for a very large number of values.
The result is a collection of grouped data.
Non-continuous data is called discrete data.
Non-continuous data is called discrete data.
Grouped Data. (statistics)
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