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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).

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How does an outlier affect data?

it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.


How would the outlier affect the mean and median of the data?

An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.


How does the outlier effect the data?

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.


How does outlier affect mean median mode?

An outlier pulls the mean towards it. It does not affect the median and only affects the mode if the mode is itself the outlier.


How does an outlier in a group of numbers affect the mean of the numbers?

The outlier skews the mean towards it.


How does the outlier affect the mean median mode?

An outlier can increase or decrease the mean and median It usually doesn't affect the mode


If you take off the outlier does it make the mean change?

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.


What is the term for an exceptional value that can dramatically affect the mean?

That would be outlier.


How does the outlier effect the mean in math?

The outlier could affect the mean by making it drastically larger or smaller.


How does an outliner affect the median of a set of data?

An outlier can significantly affect the median of a data set, although its impact is less pronounced compared to measures like the mean. The median is the middle value when data is arranged in order, so if an outlier is added or removed, it may not change the median unless it is situated among the middle values. For instance, in a data set with an odd number of values, an extreme outlier at one end will not affect the median as long as it does not enter the central position. However, in a smaller data set, the presence of an outlier can shift the median if it changes the arrangement of the middle values.


What will happen to the mean if the outlier 80 is taken out of the data set 30 35 80 35 30?

It will go down; with outlier, mean is 42 without outlier, mean is 32.5


How does an outlier affect the mad?

An outlier can significantly affect the Mean Absolute Deviation (MAD) because MAD is calculated based on the average of the absolute deviations from the mean. Since an outlier deviates far from the mean, it increases the overall average of these deviations, leading to a higher MAD. This can distort the representation of variability within the dataset, making it appear more spread out than it truly is when excluding the outlier. Consequently, the presence of outliers can mislead interpretations of data dispersion.

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