Changing all of the values in a data set in the same way is typically referred to as "data transformation" or "data normalization," not transmitting. This process alters the data to facilitate analysis, improve accuracy, or meet specific requirements. Transmitting data generally refers to the process of sending data from one location to another, rather than changing its values.
Data
data source
They are called outliers
This is often called the range of the data.
The extrema.
Data
skewed
data source
a data set with two modes in is sometimes called "bimodal." Multi-modal, always reflects the contributions of each of the data values in the group!
discrete data
It indicates how the data is changing and can be used as a prediction for values in the future. If the values are increasing a trend line will show that and give an idea of what future values might be.
They are called outliers
This is often called the range of the data.
The Mean.
The extrema.
A collection of all input values is called 'Data'.
They are called extreme values or outliers.