I have seen a lot of Hypothesis Testing videos prior to this ... but this was the best explanation I could find till date. Thanks for uploading!

You are the best! Never get bored in your lectures.

UR EFFORTS IN TEACHING US IS SIMPLY AWESOME, Sir

You are doing an amazing job Krish!!! Very simple.

bro youre so amazing you opened by eyes on hypothesis testing . i so gald to have you . thankyou so much bro really youre awesome thanks !

Thank you sir, Keep uploading this kind of videos. Started enjoying stats.

Krish this is really awesome video. It clearly explains Null hypothesis, which i was struggling from many months to understand. Thanks. Plz do many more videos for t-test, Anova test, Chi Square test. Thanks a lot

After going through 15+ videos on youtube on Inferential statistics, I am finally able to understand the concept. Thank you so much Krish sir for the awsome,detailed explanation. And it is a humble request to continue this series from where you left.

Krish, Thank you so much for this explanation! I was literally searching the web to explain me this concept and you did it beautiful with just one video. Thank you so much ❤️🔥

really appreciate your effort krish sir...feeling very happy to listen ur teaching and yes u blessed

Krish you are doing a fabulous job to explain such complex topic in your own inimitable style. Thanks a lot for making such off limit topics mainstream and enjoyable at the same time. Wish you health, wealth and lots of energy

Most waited topic

Exited for the video

Such a good explanation for Hypothesis testing and z-test. Please make a session for the other tests too. It would be helpful

Hi Krish, just a little correction, in this video and even in your previous video you said that p-value and the significance value are the same and are denoted by alpha. Actually they are not the same. Significance value/level (alpha) is defined as the probability of rejecting the null hypothesis if it is true. Also known as the false positive (FP) rate. In contrast, p-value is defined as "the smallest" level of significance at which we can "still" reject the null hypothesis. For a particular test with a particular level of significance (alpha), p-value obtained can be greater, lesser or even equal to the alpha. The decision rule is to "reject" the null hypothesis if p-value < alpha.

@thegamewars8569

2 жыл бұрын

Hi, Pradip can you please share the source link??

@pdpbasak

2 жыл бұрын

@@thegamewars8569 I learnt it from my University during my statistics class. This is a very generic information. Go through any lectures on statistics from NPTEL, you'll get to know.

@tanb13

Жыл бұрын

Absolutely correct..

@ahmadhassan8560

Жыл бұрын

Agree

This is best sir please continue ASAP

Hats off to your Work Sir

🙌 thanks for making me get some sense

Thanks Krish! Can you do similar videos with respect to other tests (t-test, chi2, anova etc.)?

godlike explanation!!

enriched content...please continue till anova test

Great explanation sir. Please upload part 2 as well.

Amazing video krish...bring back college memories...when i got KT at stats twice.... I wish you made this video at 2018... Thank you😂😂😂.

awesome explanation

Great Session

Great explanation :)

Great sir !!

awesome explanation .. Thanks

Amazing explanation..

this is a wonderful video.. thank you sir.. please make videos on other tests as well (t-test, anova test, chi square, f-test)

Very nice explanation sir

Nice explanation 🙂

thanks a lot

yes it clear now

Thanks Krish

Hi Krish, I have a doubt, for One Tail Test with alpha=.05 when we are testing for the nil hypothesis to be rejected or accepted, do we still check if the p value < .05 or should we now check whether the p value < .025 ?

maza aa gaya

Its an irony that what i didn't get paying 40 k you gave it for free. Big brother, Tussi great ho!!

Standard deviation for z test with proportion is p0(1-p0) because it is a Bernoulli's distribution.

ANOVA is generally used when we want to test the significance of the difference between more than two independent sample means. Here we dont analyze variances.

@karanchoudhary6117

2 жыл бұрын

Yes you are right tha Anova test check if the means of two or more groups are significantly different from each other but this comes under the analysis of variance.

sir please update the statistics playlist by putting the recent statistics videos onto that

Does one sample z test with proportion example refers to Bernoulli distribution? Y it should have Gaussian distribution here?

Sir is macbook air m1 8gb/512 gb ssd good for ml?

Please do many more on Friedman test, Nemenyi test. If we have more than 2 model and more than 2 datasets we use this.

sir could you please make a video on handwritten text recognition using nlp.

Can you make a video on siesmic neural networks.

if any body over there, please explain why extreame value is taken as .025? it is .05 right?

Hi Krish, can you please make a video on the Calibration model /plot

Is there any video related to regEX ??

evaluating confidence interval is the result of hypothesis testing

Krish waiting for part 2 please start

If we don't have numerical data then can we test the confidence level only if we have some periodogram

1.96 and -1.96 are nothing but confidance intervals in terms of standard deviation. And we'll get their limits by substituting them in l Point estimate +- Margin error formula . Am I correct sir !?

@tanmaythaker2905

2 жыл бұрын

Yes!

When is the next session sir i just cant wait!!

@Roblox5091

3 жыл бұрын

Woaaaweeeeewwwww

The alternate hypothesis condition should be >1.96 and =1.96 and

For the medication - IQ question -- shouldn't we take H1 as mean > 100 -- and it becomes a one-tailed test. However, the question is just whether meds affect IQ or not - could be positive or negative, hence perhaps two-tailed

in both the example the value does not fall in range so rejected null and accepted alternate , but in first example conclusion was there is change in IQ , second example conclusion claim is Inaccurate , my understanding is like claim is accurate . could someone help?

@tanayapanda1636

2 жыл бұрын

Even I have the same query but no one is there to reply

Hi Sir, which software or device you are using for writing, really i liked this way.

@parthsonagara9562

3 жыл бұрын

Microsoft Whiteboard

@testsample1005

3 жыл бұрын

@@parthsonagara9562 and which device for writing?

@parthsonagara9562

3 жыл бұрын

@@testsample1005 May be using Microsoft Surface or any tablet which will have digital pen.

@rediyeheins6624

3 жыл бұрын

@@testsample1005 .xp pen

Link to part 2?

If I am not wrong, you can never accept the null hypothesis, there is only rejection or enough evidence is not found to reject it.

If alpha is 0.01 then should we check z value of 0.995?

how to get course sir

14:41 how can we say we accept null hypothesis, we generally say we fail to reject null hypothesis.. Which one is correct

@mdmynuddin1888

3 жыл бұрын

p

@RaviKumar-ln9pl

3 жыл бұрын

we don't accept any hypothesis.....we only conclude whether to reject null hypothesis or do not reject null hypothesis

@ashutoshsrivastava416

3 жыл бұрын

we say we fail to accept or fail to reject

In the last problem, is null hypothesis not equals to 82%

Why are we considering two tail test for z test? Medically we are trying to test if the medication increases the IQ.

@sripadhavallabhagoud9590

3 жыл бұрын

They were talking about the medicine affecting intelligence, it could be in two ways either it could increase IQ or it could decrease IQ after consumption of new drug.

Sir, part 2?

can somebody tell , which subject is this , looks difficult but interesting

@alijan634

2 жыл бұрын

This subject is known as STATISTICS.

Bro where is part 2 of this ?

I want this kind of pill so bad

95% -> Confidence level

when the 2nd part?

2 tail

see iift videos....they explain much better

how to get course sir