## 6 Comments

1. WKBN Prame says:

Are there different conventions on whisker length (i.e. IQRx1.5, IQRx3, up to 98th percentile). Does outlier identification differ under these different situations?

1. Subhro says:

IQRX1.5 is one of the methods to identify outliers in a dataset. There can be only 4 Quartiles in a dataset. Q1-Q4, Even you find data 98th percentile of a dataset that will fall under Q4. The upper quartile(Q3) is the number dividing the third and fourth quartile.
So, any data point beyond Q3+1.5⋅IQR is an outlier on a higher side.

2. Stahlwandpools says:

No matter if some one searches for his required thing, therefore he/she desires
to be available that in detail, so that thing is maintained over here.

3. modern replica lighting says:

I was very happy to discover this page. I wanted to thank you for ones time for this wonderful read!!
I definitely loved every little bit of it and i also have you saved as a favorite to see new information in your blog.

1. Subhro says:

Thank You!!

4. manha.cc says:

Heya! I know this is somewhat off-topic however I needed to ask.

Does running a well-established blog like yours take a lot of work?

I am brand new to operating a blog but I do write in my diary everyday.
I’d like to start a blog so I can easily share my personal experience and feelings online.
Please let me know if you have any kind of suggestions or tips for new aspiring
blog owners. Thankyou!