Guys at 3:34 just a small update The p-value is not interpreted as a probability that the null hypothesis is true. It is the probability of observing a value of the test statistic that is as or more extreme than what was observed in the sample, assuming the null hypothesis is true. Dont Forget to subscribe my vlogging channel to see more motivational videos. Happy Learning!! kzread.info/dash/bejne/em14xJl6dMnJiKw.html

@debarunkumer2019

3 жыл бұрын

Sir can you please make a tutorial on the application of fastai framework ?

@ayushmanmisra1768

2 жыл бұрын

can you please explain what is then the difference b/w level of significance(alpha) & p-value

@rajdama205

Жыл бұрын

Also one more update, p-value isn't significance value. We calculate significance value based on observations and then compare it with p-value to decide if Null Hypothesis is accepted or rejected.

@rishirajsutar6571

7 ай бұрын

you need to delete this entire video rather than just correcting yourself in the comment section. A student who is new in this domain can easily get misguided.

Understanding p-value took so much time since other posts and videos don't involve animation of distributions in their explanations. I will say this is the greatest explanation one can ask for. Thank you so much, Krish!

Finally, the concept of p-value, null hypothesis are cleared. Thanks, Krish, your videos on DS and ML seem so fulfilling and refreshing , compared to the tedious DS+ML courses. Thanks a million, you are an amazing teacher!

Thanks for making this video. Pvalue is one of the most important part in Data Science.

Such a clear explanation about P-Value I have ever seen ☺ Thanks sir

Hey Krish please make 10 mins videos like this more on short topics. They are helpful for beginner in statistics like me. Thanks & appreciate time you spent on great content.

Most clear explanation on p-values and hypothesis.

You're an excellent instructor. Thank you for teaching.

Sir you made this topic much more simpler and easily understandable.🙏🏻🙏🏻🙏🏻

Finally a video that explained what is happening. I managed to work out a definition from summarising your video.... thank you. 95% of all results will be average. However, 5% or less would be classified as extraordinary. Therefore, if your experiment gave results which are 5% or less than likely to occur on average, the independent variable you have manipulated is significant, because it changed the results from average to extraordinary.

Thank you very much for this explanation! The graphical representation made it finally easy to understand it.

Simple and easy to understand! I finally got what the pvalue is

The best explanation that I have ever seen for the P-value. Thanks for your useful video!

Super clear explanation. Thanks for making such a lecture.

Excellent Krish I had filnally clear my self.

Nice explanation. When you have time please explain how to combine multiple p-values from independent tests. That is combining p-values into a single test of a common Hypothesis. Thank you in advance.

The absolute best explanation I have ever heard!!

I especially loved that keyboard example...It's a kind of refreshment of concepts after watching your videos...

@fksons4161

2 жыл бұрын

It got me cracking. All the people who have taught me never explained this concept as clear as he did. Wonderful teacher

Excellent way of Explanation

Thank you so much sir . After watching this video I got clear about " P value " concept and really this is the best video I ever watched. You demonstrated it well sir .

Very beautifully explained the concept. Thanks for your effort Krish.

it is really detailed and simple to understand...Thanks Krish

Thanks Krish, I signed up for your analytics course and looking forward to it!

Thanks for this video. Fairly easy to understand and very relevant analogy.

applaud, for someone write so well with mouse, besides the good content.

Excellent teaching sir. I really understood.,.

my god I have heard the pvalue explanation a lot but yours is the best. I keep on forgetting it because i truly did not understood it and only memorized (then forget the definition). Your ada boost explanation made me subscribe few days back... you are just too good man. Where were you when I took my masters?? 😂

Such an awsome video with very good examples.Thanks a lot for all your efforts for creating such an amazing video

Best ever explanatory video I've seen

Nice explanation clearly understood and we expect more practical examples

StatQuest and KrishNaik these two youtube channel just damn good for learning statistics.

hey krish, when I was testing my object detection model, It was giving all classes which I have mentioned in labelmap, what if I want to display or draw bounding boxes for the required classes among all the classes.

Simply you are the best sir!

Great Video...Very Clear Sir. Thank You

Thank you brother.Excellent explanation ,writing doesn’t matter

Hey Krish, could you please explain how to interpret Logistic regression coefficients in the budiness terms. Linear regression coefficients is pretty clear to interpret but logistic regression log odds has bit hardtime to understand. It would be really helpful if you explain this.

super presentation . full marks . excellent

Very well explained. Thank you

thanx.....in simple way u explained everything

The above fair coin according to null hypothesis we should perform one-tail test.

Thank you for the good explanation

Thanks for making me understood the p value

I am a doctor...and i bet very few medico knows about p value concept like you explained..we also need p value in biostats

Excellent explanation

We most of the time take 95% region of bell curve for not rejecting the null hypothesis, because of it is nearer to two standard deviations or anything else?

Thank u so much sir .very nice explanation sir .

Simply excellent concepts..

Awesome explanation…you got a subscriber sir🤙

Thank you! it was very helpful.

Excellent teaching sir.

u really explained in simple way

Incorrect definition of p value. It is not the probability of null to be true. It is the probability of finding an extreme point if null is true.

@thelife1919

Жыл бұрын

Yes, it is not correct.

@Karthik-wj5rs

11 ай бұрын

See pinned comment bro

@sherwinantony3512

6 ай бұрын

(Doubt) Probability of finding extreme point where ?

@AjitKumar-vm8xr

5 ай бұрын

Not extreme point but getting same result of sample again and again if null hypois true

Ha ha.. Thanks. All along I thought fair coin simply means a coin which has a head and tail. I mean not a dummy coin like heads or tails on both sides 🙈

Very good explanation.

Finally understood p value 2 months before neetpg

OH god that was so easy ? thank you bhai

Bro for ML+DL will you teach from basics Because I did my master's in geology is there any chance of getting into IT industry

Very good explanation

awesome explanation

in one word ,amazing

Sir, can you please explain this “if the CI for the mean difference contains 0 within the interval -- i.e., if the lower boundary of the CI is a negative number and the upper boundary of the CI is a positive number -- the results are not significant at the chosen significance level” Thank you

Nice explanation.

Thanks Sir🙋🏻‍♂️👍🏻

Thank Youuuu! 🥲💙

Thank you

Thank you!

P is not significant leve. It should be like alpha. P is the estimated probability for that 5% at given samples number.

H0 means fair coin but the p is probabilty of head difference in the defn.

Good one

Best explanation

Great explain sir

If P = 0.02 ( or 2%) , does that mean null hypothesis is true by 0.98 ( or 98%) ? and we have to accept null hypothesis ? Please guide / help. For example the relationship between alcohol consumption and marks scored.

Hello sir can you please explain weak law of large numbers and strong law of large numbers

Well explained

Very nice video boss 😊

Do all data sets follows bell shape curved? If not how we will use t test and all that? By the way, very nice videos.😊

Thank You!

Please make video on ANOVA

The Coin in Sholay movie,, had p value less than 0.05 ,,and rejected the the null hypothesis,,, and rest is history

2:47 in the term of frequentist approach

Thanks Krish

Please make a video on the Mann Kendall test...

Thank you sir

Good explain sir

Thank you sir.

Nice video Sir

Can I get an admission in bsc data science after 12th commerce in St Xavier's College Mumbai and I've mathmatics in optional subject ??? please please please please please please please please please please please please please please please please tell me...

Wish you had chosen a continuous variable rather than a categorical one!

hi sir can you please make video on meta-analysis ?

Thank you so much, but just to share I slept like 8 times and each time i rewinded from 7:10

Krish ji, Understood the concepts, but not able to connect this example to the thing that we do hypothesis testing in sample to understand population behaviour.... pls someone clarify

It would be better if you could explain us with the same keyboard example and ofcourse it's easy.

Thanks

Nice

Awesome

How you have plotted the categorical data (head or tail) on a pdf

so if p value is

Why does sample mean uses n-1; Please Krish answer this one too.

@krishnaik06

3 жыл бұрын

Soon I will explain in a video

@hardikvegad3508

3 жыл бұрын

@@krishnaik06 thank you very much sir 🙌🏻

@imteyazahmad9616

3 жыл бұрын

@@krishnaik06 I had tried to find this question but still I am confuse why n-1

@shrikantdeshmukh7951

3 жыл бұрын

Df of freedom ? N-1? You are talking about?

thankx

meanse between the confidence interval