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.

[@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!

[@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

[@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.

[@lewissk8982]

This is why everyone says Indian men explain the complexity in simplicity like they peel off a yellow banana. Thank you so much man

[@Chad-be3jm]

where are you from ?

[@satadrubera]

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

[@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

[@sahifasultana5800]

Congratulations for making such an amazing tutorial!! Just loved the way you tried to explain the concept in a simple yet effective way

[@imteyazahmad9616]

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

[@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 .

[@shakibaamirshahi8721]

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

[@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.

[@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!

[@rachitsingh4913]

Most clear explanation on p-values and hypothesis.

[@auslei]

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

[@IngridWright-f2f]

The absolute best explanation I have ever heard!!

[@dadakhalandar5820]

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

[@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?? 😂

[@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.

[@AliRehman-c2g]

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

[@gauravs3605]

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

[@priyakashyap5716]

Best ever explanatory video I've seen

[@christophersujoy8470]

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

[@thudimillasaiprasad3983]

Excellent Krish I had filnally clear my self.

[@vankadavathrohith1589]

Tq so much you made my day easy through this video.

[@rifatulislamhimel6545]

Super clear explanation. Thanks for making such a lecture.

[@dollysiharath4205]

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

[@niranjannazarkar555]

Excellent way of Explanation

[@kaushikreddy6419]

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

[@dstan16224]

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

[@arpanapathak6978]

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

[@sumantbachewar4628]

Simply you are the best sir!

[@tirupatimangalpelli5345]

u really explained in simple way

[@better_notes182]

Dude your the best, literally thanks a ton

[@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.

[@Raja-tt4ll]

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

[@Mee12394]

Finally understood p value 2 months before neetpg

[@kiran082]

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

[@hkiki1]

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

[@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?

[@baljitsingh-ch9jo]

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

[@JaydeepSinghTindori]

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

[@drpkgupta4469]

Thank u so much sir .very nice explanation sir .

[@bryanstark324]

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

[@minakshiboruahnitmz]

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

[@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

[@charmaine7301]

Awesome explanation…you got a subscriber sir🤙

[@sangeethachandru7903]

Excellent teaching sir. I really understood.,.

[@nandinimishra3632]

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

[@biggboss5194]

Excellent explanation

[@oliullah.mahmud]

Excellent teaching sir.

[@subhranshusahani547]

Great Video...Very Clear Sir. Thank You

[@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

[@AmandeepSingh-yo1it]

2:47 in the term of frequentist approach

[@KhalidFarooq786]

super presentation . full marks . excellent

[@funtuber9155]

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

[@deekshashetty4611]

Thank you for the good explanation

[@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.

[@mustanganiruddh2745]

OH god that was so easy ? thank you bhai

[@nithyapalanisamy4904]

Nice explanation clearly understood and we expect more practical examples

[@sambeetpanda86]

Simply excellent concepts..

[@mandeepkour411]

Gr8 explanation🎉🎉🎉

[@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 🙈

[@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.

[@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?

[@mecidelhasan9398]

in one word ,amazing

[@biswajeetparija1972]

Very good explanation.

[@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!

[@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

[@paragzade3408]

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

[@Simran_Warraich_]

awesome explanation

[@abde1581]

Please make video on ANOVA

[@srinivasg6622]

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

[@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.

[@maimoonasayeed5112]

Very well explained. Thank you

[@karthickk6587]

Thanks for making me understood the p value

[@Burak-cr6um]

Thank you! it was very helpful.

[@swapnilsarangkar6888]

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

[@abdoulazizdabo9064]

Best explanation

[@shreshthsharma2001]

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

[@manjunathareddy359]

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.

[@Dr._NextDoor]

Thank Youuuu! 🥲💙

[@hellomacha4388]

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

[@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

[@ravidhandhukiya2291]

Nice explanation.

[@debjit08]

so if p value is

[@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

[@aamirwazir2362]

Thanks Sir🙋🏻‍♂️👍🏻

[@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...

[@nirmalya_bakshi9]

Very good explanation

[@abhaygupta7931]

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

[@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.😊

[@ayushimittalmail]

Very nice video boss 😊

[@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?

[@Maddyworld1896]

Well explained

[@mdmahmudulhasanmiddya9632]

Great explain sir

[@MirGlobalAcademy]

Nice

[@humble_man30]

Are you from andhra pradesh/telengana??

[@girishmahamuni1830]

Thank you

[@sandhyaranisahoo933]

Nice video Sir