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Lost data can not be regained. There may be techniques to infer the missing data from the rest of that data but it would be domain specific and you may not be able to derive meaningful statistics from such a data set.
It is a value which appears not to fit in with the other data elements.
A set of data is a set of nuumbers .
35 occurs most often in the collated data set.
No. The data set will remain the data set: they are the observations that are recorded.
Data that does not fit with the rest of the data set.
No.
They are called extreme values or outliers.
Anomalous Data
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!
Quartile
Lost data can not be regained. There may be techniques to infer the missing data from the rest of that data but it would be domain specific and you may not be able to derive meaningful statistics from such a data set.
It is a value which appears not to fit in with the other data elements.
When a function or given data set differes from a liniar curve fit. the difference between the data and a linear curve fit is your linearity error
A set of data is a set of nuumbers .
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4