# How can we detect the existence of outliers using mean and median?

How can we detect the existence of outliers using mean and median?

Is it really possible to detect the existence of outliers in a set of data from their feature-wise mean and median?

Suppose, I have a data set with eight features in my hand.

I have juxtaposed their means and medians row by row.

            f1       f2        f3        f4        f5        f6        f7        f8
mean      2.5000    0.1868    0.0148    0.2105    0.2088   79.6583    1.0604    0.0091
median    2.5000    0.1826    0.0001    0.0002    0.0000   -0.0000    0.0000   -0.0000


Can we tell anything about the existence of outliers from these information?

Edit:

How are the data distributed?

Data set is considered to be normally distributed.

Do they all have the same mean and variance?

I don't know.