It is the outlier.
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
The median.
Hai. :3
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.
If the outlier is excluded the median of the data will be higher.
It is the outlier.
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.
need more info
Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
The median.
Hai. :3
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
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