No. The data set will remain the data set: they are the observations that are recorded.
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.
An outlier will have a huge affect on the range as the range is the largest value minus the smallest value.
An outlier can significantly impact the median by pulling it towards the extreme value of the outlier, especially when the dataset is small. This can distort the central tendency measure that the median represents and provide a misleading representation of the typical value in the dataset.
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.
Outliers pull the mean in the direction of the outlier.
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.
There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.
An outlier (mathematics/statistics), or radical value (sociology).
outlier
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.
Outlier
Not necessarily.