Hypothesis Testing: Questions and Answers.

[@Shubhamkumar-ng1pm]

omg i was struggling to understand the hypothesis testing for 1 year but this simple explaination just made my day.thanks verma sir.

[@ria_chhabra]

Sir , u nailed it. I understood hypothesis testing properly. I am happy that I took this course

[@SQDLowkey]

This was the best I've seen of Hypothesis testing...you made it so simple Thank you, Sir

[@sahilsharma3267]

Excellently explained. Sir, you just make these tricky concepts look so simple by stressing on those important points which are necessary (the ground truth).

[@tonnykbd1]

sir, class is excellent, i think there is a verbal mistake(there is no difference in class heights) at 13.45, because we have already concluded that there is a difference in class heights at 12.45-13.00

[@akashdhar4499]

So P(X>=10/Ho) = 20% shouldn't it mean more people are greater than 10 cm here as in the case of just 1%...then why are we accepting the H0 here?...H0 means there is no difference in height .....but when P(X>=10/Ho) = 20% shouldn't it mean more people have height greater than 10cm,,,hence we should reject H0 here?

[@raneshmitra8156]

Best explanation of hypothesis testing, Verma sir is most important influencing KZbinr in my life....

[@veenaprabhakaran7461]

I have known hypothesis testing for 6 years, I have read a lot about it to understand it better. But nothing helped me as this video did. Thank you so much :)

[@deepthikiran8345]

Hi sir, Please clarify the following questions? 1. Why we have considered the observation as X>=10 instead of X=10 ? 2. While understanding the intuition behind the p-value, we know that the observation is true , and based on the P value we got, we are deciding the significance of the H0, but in this example suppose when you are read the P value equation , if the probability of the observation(x>=10) if the null hypothesis is true i.e., p value is 3 percent, we are rejecting the null hypothesis. But if we think of the equation in general terms , the probability of the difference in the means should be less for the satisfying the null hypothesis condition. Kindly clear the confusion? Thanks .

[@sehaj778]

So @12:30 , when you say Ho is incorrect does it mean its value is large ? Because the given clause comes in the denominator and for the whole fraction to be small, its denominator value needs to be large ....

[@antonymetivier8078]

9:35 why x>=10 sir... Why not x

[@tanmayvaidya8337]

Ultimate explanation !! Thanks for sharing.

[@ManishKumar-jq7ld]

How are you accepting the null hypothesis when the p-value is large (i.e there is no difference in class heights) as we have observed there is a difference in class heights?

[@sauravpareek6298]

LEGEND VARMA SIR ... Thanks.... you have explained in such a way even a school going student can understand.

[@AppliedAICourse]

Happy that you understood it.

[@mohdhasanrizvi6940]

Thanks Verma Sir .Very easy to understand Explanation

[@shanthgaitonde]

Best Guru of my life!

[@aashishdagar3307]

Thnks for the amazing explanation. why it's difficult for Ho = mu2- mu1>10 we can stimulate like mu2-mu1

[@vamshikrishna298]

I took one day to understand the climax H0 accept or reject the case scenario....Yes, it's not easy to understand but not tuff if we understand what exactly theory concludes..Thanks, Verma Sir.

[@AppliedAICourse]

Yes, it is little tricky to get a hang of it the first time. Once you understand it, it feels like common sense.

[@davidaponte896]

Excellent video! It would be even better though if you included a notebook to show us the simulation in code.

[@Bholu420]

@9:35 cleared the main doubt

[@subrahmanyamkesani7304]

Now I got clarity. Thank you v.much Sreekant!!

[@jameskurakula8560]

You are really blessed with teaching skills, i was literally struggling to understand , this video made my day, Thanks a lot sir 🙏...

[@lakshayanand1200]

Intuitionally, does it not make more sense to have an example where we are observing height difference= 10 at least.

[@ravikshdikola6089]

it helped a lot in understanding p value and hypothesis

[@kids94594]

wow..beautifull explained.....elegance

[@sistaseetaram9008]

best explanation ever..

[@BharathKumar-vs8fm]

This is the perfect explanation sir

[@DanishAli-lk7si]

Great explanation Sir, what is alternate hypothesis here? is it means are not same?. that means our observation is sub set of alternate hypothesis?

[@akshaybhasme7810]

Thanks, you explained it very good

[@kushalacharya4048]

Excellent explanation sir!!

[@tanishnhitanishbhai]

why x>=10 and not x

[@vishaldhingra8458]

finally got it. initially it was very confusing

[@Bholu420]

Why if we choose H1 hypohesis (Alternate hypothesis that there is a difference mu1 and mu2). Because Hypothesis doesn't make any impact in Mathematical calculation. With the same calculation for P (20% or 1%). Now, H1 will be valid instead of H0. In this example, H1 will now be true if p=20%. What difference does it make.

[@Aalekhrock]

Great explanation sir 👍👍

[@khushankgoyal7315]

sir you should put this video in the course as this one is better explained

[@AppliedAICourse]

It is already in the course. Thank you for the suggestion.

[@bellamkondavenkatakalyan8351]

can you explain what is meant by simulated x's

[@AppliedAICourse]

They are the x-i’s that you get after re-sampling.

[@TheRaghu008]

Hi Verma Sir, I have a doubt. In your video you have said that if p value is less you reject your null hypothesis by saying that it less probable!! But on what grounds are we accepting the null hypothesis when the p value is larger?

[@AppliedAICourse]

Since the probability of observing the observed value under null hypothesis is large, we accept the null hypothesis.

[@mokkapatipavan]

Brilliantly explained.Thank you sir.

[@amanmiglani6043]

great Sir...

[@mrohit2011]

Nice explanation sir

[@arshiraizada1670]

Awesome sir😃

[@kshitizomar6730]

That AhA! moment. So satisfying!!!!!

[@simantakalita2179]

perfect!