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Q: The mode may be more useful than the mean when there are extreme values in the data set?

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when there are extreme values in the data

MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.

The advantage of harmonic mean is that it is used to solve situations in which there are extreme data values to true picture. The disadvantage of it is that it can be time consuming to evaluate the data.

If a data set consists of 1000 different values can the mean and the median be the same

Such a data point is called an outlier.

Related questions

when there are extreme values in the data

MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.

MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.

mean

advantage is that it is used in situations in which there are extreme values in data. it can give a true picture of average of a data

The advantage of harmonic mean is that it is used to solve situations in which there are extreme data values to true picture. The disadvantage of it is that it can be time consuming to evaluate the data.

MEANUse the mean to describe the middle of a set of data that does not have an outlier.Advantages:• Most popular measure in fields such as business, engineering and computer science.• It is unique - there is only one answer.• Useful when comparing sets of data.Disadvantages:• Affected by extreme values (outliers)

You would use the median if the data were very skewed, with extreme values.

It is the mean average of number of collected data values.

skewed

Will gve the mean average of the data

mode and mean