What is skewness in statistics and probability

 

So you have been assigned homework on types of skewness and don’t know how to deal with it right?

If you are facing a lot of problems in doing your homework then read this article as we will be giving a short tip that you can make use of to earn a good grade each time. 

But before that, we will be discussing skewness and its types.

What is skewness in statistics and probability?

The statistics theory and probability a measure of skewness is defined as a measure of the asymmetry of the random variable or a date set. It is represented graphically showing the distribution of the data values in a data set. 

Being graphical gives us an idea of how the mean, median, and mode are distributed within the values of a data set.  

Skewness can be zero or symmetric, positive and negative. 

It is important because its graphical representation gives us an idea of the frequency levels of the mean, median, and mode. It also gives us an idea of some basic observations.

Defining the types of skewness in statistics

Three types of skewness curves are possible for all types of data sets in statistics. They are-

Positive skewness

Negative skewness and, 

Symmetric skewness

Here we will give you a brief idea of all three types of skewness. So let’s begin-

Positive skewness

A curve or the data points of a random variable when represented on a curve is said to have positive skewness when the mean is greater than the median which is again greater than the mode.

When represented by way of a histogram or a frequency polygon we will see that the right tail of the curve is significantly taller and broader than the left tail of the curve. 

The coefficient for positive skewness is always positive. 

Negative skewness

The curve or the data points for a random variable is said to have negative skewness when the mode is the highest followed by the median and mean. 

It is exactly opposite to the positive skewness in the fact that the left tail of the curve is significantly larger and broader than the right tail of the curve. 

The coefficient for negative skewness is always negative. 

Symmetrical skewness

This is a perfect type of symmetric distribution as the values of mean, median, and mode are exactly aligned on top of each other and forms a normal to the curve. 

Here the values of mean, median, and the mode are exactly equal. The right part of the curve is exactly equal in area to the left part of the curve. 

Here the coefficient of skewness is always zero. 

How do you deal with the typical homework for skewness?

We know that you might still be having some problems in understanding the types of skewness. This is one of the toughest but basic concepts that is used in statistics and probability. 

Most students have a problem in dealing with the homework on types of skewness. If you are also facing similar problems then here is a little tip that you can make use of to earn the best grades-

Hiring online experts to deal with the problems of skewness

Are you facing lots of trouble to deal with the homework on various types of skewness?

You can hire an online expert if you have not yet resolved full clarity on the skewness part. 

Hiring online experts to do the job is the best way to deal with the problems of skewness and its types. 

You will need to have good graphical representational skills and graph observational skills to do the homework. 

So, hire online experts today after checking various online portals and ensure that you get a good grade. 

Final verdict

If you want to get a good grade in your types of skewness homework but do not know how to do it on your own, the best way to do it is to hire online experts. This will help you to deal with the homework in the best possible way as this can save loads of time for you and also assure you of getting a good grade for your investment.