What Is P Value In Statistics In Simple Language?

[@krishnaik06]

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!! kzbin.info/www/bejne/fmqnk2p3ecuWjqs

[@debarunkumer2019]

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

[@ayushmanmisra1768]

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

[@rajdama205]

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]

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.

[@vivekkr44]

Hey Krish, The concept of p-value and null hypothesis in this video is completely wrong. Please don't mislead the students by teaching wrong concepts in public forum. No offense, but please correct this because one of my students got confused by referring this video. Thanks!

[@satadrubera]

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

[@dollysiharath4205]

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

[@VijayasarathyMuthu]

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 🙈

[@arlinkinpark6769]

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

[@JaydeepSinghTindori]

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

[@vivekjoshi3769]

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.

[@Arslanqadri]

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]

Yes, it is not correct.

[@Karthik-s4y5f]

See pinned comment bro

[@sherwinantony3512]

(Doubt) Probability of finding extreme point where ?

[@AjitKumar-vm8xr]

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

[@hassansaeed9540]

Totally wrong concept its not the level of significance

[@JitendraKumar-lq1np]

Well explained Sir.

[@KhalidFarooq786]

super presentation . full marks . excellent

[@MirGlobalAcademy]

Nice

[@dhruv3344]

Definition: The p-value is the probability of obtaining a test statistic at least as extreme as the one observed, given that the null hypothesis is true. Interpretation: It quantifies the strength of the evidence against the null hypothesis. A smaller p-value indicates stronger evidence against the null hypothesis.

[@bestofbest258]

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!

[@dr024]

No no no… pvalue is not the probability that the null hypothesis is correct. Get your sources correctly. You will never find a book authored by statisticians that pvalue is the probability that the null hypothesis is true because it is NOT.

[@anandlearningacademy9022]

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

[@fksons4161]

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

[@35pri2ish]

p value is not the significance level :/

[@maneeshms4285]

I also got confused.

[@keerthansimhachowdary9804]

I'm confused like why you performed 2 times, i.e. 60,67. I understood that 67 lies in tail region, but before why 60 was taken?.Anyone, please explain

[@shreshthsharma2001]

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

[@Indhumathi-e9w]

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

[@AjitKumar-vm8xr]

Null hypothesis definition is wrong It is getting same result if null hypothesis is true conditional probability is there

[@rachitsingh4913]

Most clear explanation on p-values and hypothesis.

[@bhatkti_aatma]

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...

[@nirmalyabakshi9]

Very good explanation

[@funtuber9155]

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

[@nikitasinha8181]

Thank you sir

[@niranjannazarkar555]

Excellent way of Explanation

[@imteyazahmad9616]

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

[@minakshiboruahnitmz]

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

[@humble_man30]

Are you from andhra pradesh/telengana??

[@medsisrinivas9468]

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.

[@kylesnodgrass1]

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.

[@better_notes182]

Dude your the best, literally thanks a ton

[@Alishayadav-fc6ev]

06/03/2024 great information sir!

[@hardikvegad3508]

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

[@krishnaik06]

Soon I will explain in a video

[@hardikvegad3508]

@@krishnaik06 thank you very much sir 🙌🏻

[@imteyazahmad9616]

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

[@shrikantdeshmukh7951]

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

[@nandinimishra3632]

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

[@kaushikreddy6419]

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

[@manojbanoth5942]

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?

[@sagarparab6973]

meanse between the confidence interval

[@mustanganiruddh2745]

OH god that was so easy ? thank you bhai

[@abde1581]

Please make video on ANOVA

[@paragzade3408]

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

[@thudimillasaiprasad3983]

Excellent Krish I had filnally clear my self.

[@Isaac-kq3ec]

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

[@girishmahamuni1830]

Thank you

[@videojonkie]

Please check the concepts ---- I dont think definition of P Value is correct...will request the audience to cross check with other reliable sources

[@mecidelhasan9398]

in one word ,amazing

[@deepika2472]

Isn't it not a fair coin when the coin tossed 60 times head? Why do we need p-value to begin with ? How many times does the coin need to be tossed 100 times for us to determine a p-value?

[@mehmetkahyaoglu2377]

if p > 0.05 is, then we can say that, we failed to reject that our coin is fair. Else if p < 0.05 is, hypothesis is rejected that our coin is fair. then point is that I want to make a correction. If p is equal to exact 0.05 value, means that we can not say whether it is fair or not.

[@srinivasg6622]

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

[@dadakhalandar5820]

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

[@gauravs3605]

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

[@rifatulislamhimel6545]

Super clear explanation. Thanks for making such a lecture.

[@bphanikrishna1]

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.

[@preetisri7297]

Good one

[@manikantareddy1830]

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

[@vijayanandan3005]

#StatQuest :)

[@AliRehman-c2g]

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

[@biggboss5194]

Excellent explanation

[@kajolbrahma1026]

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 .

[@mohanb655]

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.

[@drpkgupta4469]

Thank u so much sir .very nice explanation sir .

[@mandeepkour411]

Gr8 explanation🎉🎉🎉

[@abhaygupta7931]

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

[@Simran_Warraich_]

awesome explanation

[@baljitsingh-ch9jo]

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

[@earlnoli]

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?? 😂

[@Mee12394]

Finally understood p value 2 months before neetpg

[@Amansingh-tr1cf]

Awesome

[@Dr._NextDoor]

Thank Youuuu! 🥲💙

[@abdoulazizdabo9064]

Best explanation

[@auslei]

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

[@shakibaamirshahi8721]

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

[@chillvibes1896]

Well explained

[@sandhyaranisahoo933]

Nice video Sir

[@kiran082]

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

[@benardkiplimo3508]

Thank you!

[@AmandeepSingh-yo1it]

2:47 in the term of frequentist approach

[@mehboobsultana826]

if p value is only 0 what this mean?

[@deekshashetty4611]

Thank you for the good explanation

[@mahajanravish]

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.😊

[@somjitdas6034]

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!

[@debjit08]

so if p value is

[@hellomacha4388]

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

[@gouthamkarakavalasa4267]

The topic explanation is not clear.

[@sanjaisrao484]

Thanks

[@dharmaaryayoga]

Thank you

[@arpanapathak6978]

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

[@Burak-cr6um]

Thank you! it was very helpful.

[@swapnilsarangkar6888]

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

[@peer3142]

Best 😍

[@bryanstark324]

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

[@aamirwazir2362]

Thanks Sir🙋🏻‍♂️👍🏻

[@IngridWright-f2f]

The absolute best explanation I have ever heard!!

[@prasadcaher]

👍

[@subhranshusahani547]

Great Video...Very Clear Sir. Thank You

[@charmaine7301]

Awesome explanation…you got a subscriber sir🤙

[@tirupatimangalpelli5345]

u really explained in simple way

[@priyakashyap5716]

Best ever explanatory video I've seen

[@dstan16224]

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