Q: How does the outlier effect the mode in a set of data?

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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.

Yes there can be more then one outlier

Outlier

it is called an outlier

There is no mode so it is not a measure of anything! Te data set contains an outlier: 996 and so the median is a better measure of the centre than the mean.

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

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.

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

Such a data point is called 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.

An outlier.

Look at definitions and synonyms for each term:median is the data at the midpoint of the dataoutlier is data that does not conform to the general data trendmode is a way of manipulating or presenting datamean is dat that is the average valueAll word except "mode" apply to numeric data in the sample set presented in chart or graphMode is the word with a different meaning.

Yes there can be more then one outlier

Yes, any data point outside thestandard deviation its an outlier

An outlier

Outlier

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