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# Should you use the median or mean to describe a data set if the data are not skewed?

Updated: 12/5/2022

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Q: Should you use the median or mean to describe a data set if the data are not skewed?
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### Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?

If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.

### What is need of skewing?

Skewing in mathematics deals with statistics and with the averages of a given set of numbers. When talking about skewing, the group of numbers is usually skewed to the left, meaning most of the data falls below the median, or to the right, making most of the data above the median. Skewing can be caused by pieces of the data being very high above or below the rest of the data.

### Is there a chart for skewed data?

There isn't a specific chart for skewed data, but you could use a number of different charts to show that data is skewed. An Area chart could be used for example, or a column chart could also work. It would depend in the nature of the data.

### What does mean mode and median have in common?

They all describe data set or data sets,hey tell you how far apart they are from each other.

### Advantages and disadvantages of mean in statistics?

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