No. The data set will remain the data set: they are the observations that are recorded.
Chat with our AI personalities
That would be outlier.
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.
An outlier is a value that is way too small or way too large compared to other observations. There is no formal definition of what "way too" is.
Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.
Not necessarily.