Complete guide to hands-on A/B Testing | A/B testing in Python | All that you need to know

[@FousiyaSaleem-n8b]

Bravo!!! I haven't seen such a comprehensive AB Testing Exercise in my entire KZbin Search... You are the best man!!!! Genious!!!! You know clearly about what you are doing and teaching !!!

[@saniyairam-v2p]

Your codes and Explanation are soo clean soo crisp, I am able to understand almost everything!! thankyou soo much

[@Matias-fs7xw]

Thank you so much for the videos and exercises. They were very clear and easy to follow. And I am very grateful for this final A/B test example of the playlist.

[@leo_tra]

Thanks for the fantastic video. It covers A/B Test and other important Python concepts useful for data analysis. You guys could have a website with the Python files you build for your videos available for sale. You could charge something like $10 per file. This would be affordable for the viewers and could generate some income for you.

[@dineshv1806]

Your way of teaching is very clear and understandable, is there any way that we can connect?

[@prosmartanalytics]

Thank you! Sometime in near future, till then please stay connected with this channel.

[@dataSage-AI]

You explain things so well and in so details.. hello i am a fresher data analyst... is there a way to connect you??

[@prosmartanalytics]

Thank you! Your encouragement means a lot. We have some thoughts in the pipeline for better connect with our patrons like you. Probably we'll be able to get back soon.

[@oluwakoredealashe8787]

Same with me. I would really like to connect to you@@prosmartanalytics

[@YasirWani-b7z]

Isn't Sample Ratio mismatch totally ignored here? Do you think that will have effect on the validity of the hypothesis testing?

[@prosmartanalytics]

Good question! There are tests which do not necessarily require the sample size to be equal. Independent sample t test is one of those, as its test statistic takes care of unequal samples. Generally, while planning such tests, we don't take very different sample sizes. It is in our control. Also, there were times when not having enough data was a concern, today, having abundant data is normal.

[@rezamohajerpoor8092]

thanks a lot for this great video; is it possible to access the notebook code as well?

[@prosmartanalytics]

Thank you! Due to some IP infringement issues in the past, we don't post the code.

[@kisholoymukherjee]

you guys have a website?

[@prosmartanalytics]

Yes, it is sixsigmaprosmart.com

[@NN-td3ow]

Great video! But may I ask why we wanted to use t-test and not z-test? given we are dealing with a large dataset? Thanks!

[@prosmartanalytics]

Good question! The biggest challenge associated with z test is that it requires the population standard deviation. Knowing population standard deviation means we know the population, and if we know the population we won't need inferential statistics. Therefore, for all practical reasons generally a t test is preferred. 😊

[@NN-td3ow]

@@prosmartanalytics Got it!! Thanks for the prompt response!!!

[@prosmartanalytics]

Welcome! We have a complete playlist on hypothesis testing, you may go through it if you are interested in this topic.

[@taibatabowaba9828]

@@prosmartanalytics hello. but can the standard deviation not be calculated?

[@prosmartanalytics]

@@taibatabowaba9828 We can easily calculate sample standard deviation, but knowing population standard deviation is not so easy. To be able to calculate population standard deviation we first need to have access to the population. If we have access to the population there won't be a need to perform inferential statistics and hypoyhesis testing.