the most common cause of an outlier is an error in the recording of data.
Yes, both of them will be outliers.
No, median is not an outlier.
0s are not the outlier values
Depends on whether the outlier was too small or too large. If the outlier was too small, the mean without the outlier would be larger. Conversely, if the outlier was too large, the mean without the outlier would be smaller.
To determine how much an outlier decreases the answer, you need to compare the statistical measure before and after including the outlier. For example, if the mean of a dataset is 50 without the outlier and drops to 40 with the outlier included, the outlier decreases the answer by 10. The specific impact of an outlier can vary significantly depending on its value relative to the rest of the data.
No. A single observation can never be an outlier.
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.
The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.
Which two factors cause the loss in value of tangible assets
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.
1,2,3,4,20 20 is the outlier range