Nice video Krish! A small clarification for your viewers, we never say: "Accept the null hypothesis" We should rather say "fail to reject". The sample test is not evidence proving the null. The sample test should always be considered as evidence disproving the null. If the sample test result is strong enough, then we are successful in disproving the null, "Reject the null hypothesis". if the sample test result is not strong enough, then we have not been successful in disproving the null, "fail to reject the null hypothesis". An analogy can be: Ho: Krish is innocent H1: Krish is guilty Sample test: Compare krish's fingerprints with fingerprints found on crime scene If fingerprints match, we have strong evidence from sample test that krish was on crime scene, so we "reject the null that he is innocent" However, if fingerprints do not match, we do not have strong evidence that krish was on crime scene, so we "fail to reject null that he is innocent" Here, again, we do not know that he is actually innocent. Our test does not prove his innocence. Our test is just not strong enough to prove that he is guilty. (who knows he might have wore gloves :) )

So easily explained! Thanks 😊

Thanks for the video. But sorry to say that you skipped something. You told Tutorial 13 in this play list you will show how to convert power law distribution to normal distribution in python. how about that

Very good video , understood the concept easily ..thank you

Thank you Krish for this video this would definitely help me a lot

After long time finally video on statistics

I am from Bangladesh .U have such great quality .Krish please upload the next video asap.

Long time to wait for continuing statistics thanks sr

ur vedios aand ur explainations are so good i cant wat to attend ur love clasees thank u

Concept clear karne k lie thank you sir👍

Please upload box cox trasformation practical video krish sir

thank you krish.

The way you explained this confusing topic, i found that your confidence interval is 99.99% .So we accept our Null Hypothesis Ho based all the evidences given in the video which is is given as : Ho : Krish is the best teacher. 😅

Salute sir ❤

thnk u bhai❤‍🔥

thank u so much dear sir

Best teacher

bhai pareto distrubution ke aage ke vidoes nahi hai kya playlist me.

Hi krish sir, you were suppose to create a video on box cox transformation

will you please upload the bessel correction video with mathematical explaination

Krish waitying for next videos in same playlist.

Thanks sir you great

Kindly, Make part 2 & 3. Thanks

can you tell me the software you are using to write

Is this playlist complete?

Thank you Sir

This video was supposed to be for box cox transformation?

Great ❤

How many vedios of stats would come further?

sir please upload the video regarding p value

Good sir

Sir BOX COX Transformation you have left from previous tutorial (Tutorial No.13), as you told that will discuss in next class.

sir plz jaldi se jaldi playlist complete kijiye sir plz 🙏🙏🙏🙏🙏

Sir apna abhi tak pura material upload nhi kiya h

Thank s!! sir

sir 60-40 coin k example ko fair kyun kahan apne? samajh nahi aya...coin fair hone k liye to 50-50 hi hona padega na?

did anyone find the box-cox transformation video of him?

Please upload the class on box cox transformation

very thankfull to make hinfi v

Super

sir please upload more video with real numerical questions for interview

Ap is channel per zayada videos nahe dalte

Sir please upload more lectures of ML

1 tail and 2 tail ma difference Kia ha

sir please upload next videos

We can never say we accept the Null Hypothesis. Sample evidence can never be equal to population

Yaar series complete toh kr doo

Next part of this video??

Please deploy end to end data science project

Do you have any plans to make video on Estimation & Maximum Likelihood Estimation in detail ?

Waiting for next episodes of this course....

Thank you krish

sir next video plz

Hi you lei almost every video. Most of the time you tell that you are going to make a video like peroto plot with python but you do not make. Please 🥺 do this. It a complaint towards you :(

Next please exam hone wale h

sir plz jaldi se jaldi playlist complete kijiye sir plz 🙏🙏🙏🙏🙏