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What is the effect of the a small outlier value Will it affect of a data set?
No. The data set will remain the data set: they are the observations that are recorded.
When data points in a set of a data are extreme enough to have a significant effect on the mean what are they called?
Such a data point is called an outlier.
If an outlier is included with a sample of 50 values all of which are the same what is the effect of the outlier on the mean?
By definition, an outlier will not have the same value as other data points in the dataset. So, the correct question is "What is the effect of an outlier on a dataset's mean." The answer is that the outlier moves the mean away from the value of the other 49 identical values. If the outlier is the "high tail" the mean is moved to a higher value. If the outlier is a "low tail" the mean is moved to a lower value.
If you take off the outlier does it make the mean change?
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
What Anomalous data on a graph shows what?
An Outlier; an Outlier is when a point is not part of a trend (pattern)
