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Q: How does the outlier effect the data?

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Such a data point is called an outlier.

An outlier.

outlier

An outlier

There cannot be an outlier in a dataset that comprises only one number!

Related questions

If the outlier is excluded the median of the data will be higher.

No. The data set will remain the data set: they are the observations that are recorded.

Such a data point is called an outlier.

there is no outlier because there isn't a data set to go along with it. so theres no 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.

the most common cause of an outlier is an error in the recording of data.

A single observation cannot have an outlier.

If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.

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.

Yes, any data point outside thestandard deviation its an outlier

On the standard deviation. It has no effect on the IQR.

An Outlier; an Outlier is when a point is not part of a trend (pattern)

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