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!
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it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
They help to analyse data samples and therefore compare statistics. Normally all three methods are used as they all contain weaknesses. However the mean is usually the normal statistic used after anomalous results have been removed
In statistics, outliers are values outside the norm relative to the rest of collected data. Many times they can skew the results and distort the interpretation of data. They may or may not indicate anything significant; they might just be an anomalous data point that is not significant. It is difficult to tell.
Its mean incomplete data or the data upon which we can not rely totally.
what do you mean by data handling define mean mode median