What Is P Value In Statistics In Simple Language?

In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct
Subscribe my vlogging channel
/ @krishnaikhindi
iNeuron is coming up with the Affordable Machine Learning And Deep Learning Master Course. This batch is starting from 10th April and the timing will be 8am to 10am on Saturdays and Sunday and it will be live sessions.
The course fees will be 3000 inr+18% GST.
Download the syllabus and fill the form to reserve the seat
ineuron1.viewpage.co/MLRDAPRIL
Download the syllabus and fill the form to reserve the seat, the support team will call you.
ineuron1.viewpage.co/DLCVNLPAPRIL
Incase of any queries you can contact the below number.
8788503778
6260726925
9538303385
8660034247
9880055539
-------------------------------------------------------------------------------------------------------------------------
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! www.kite.com/get-kite/?...
All Playlist In My channel
Interview Playlist: • Machine Learning Inter...
Complete DL Playlist: • Complete Road Map To P...
Julia Playlist: • Tutorial 1- Introducti...
Complete ML Playlist : • Complete Machine Learn...
Complete NLP Playlist: • Natural Language Proce...
Docker End To End Implementation: • Docker End to End Impl...
Live stream Playlist: • Pytorch
Machine Learning Pipelines: • Docker End to End Impl...
Pytorch Playlist: • Pytorch
Feature Engineering : • Feature Engineering
Live Projects : • Live Projects
Kaggle competition : • Kaggle Competitions
Mongodb with Python : • MongoDb with Python
MySQL With Python : • MYSQL Database With Py...
Deployment Architectures: • Deployment Architectur...
Amazon sagemaker : • Amazon SageMaker
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Telegram link: t.me/joinchat/N77M7xRvYUd403D...
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
/ @krishnaik06
Please do subscribe my other channel too
/ @krishnaikhindi
Connect with me here:
Twitter: / krishnaik06
Facebook: / krishnaik06
instagram: / krishnaik06

[@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!

[@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!

[@imteyazahmad9616]

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

[@dadakhalandar5820]

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

[@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.

[@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.

[@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

[@rachitsingh4913]

Most clear explanation on p-values and hypothesis.

[@christophersujoy8470]

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

[@shakibaamirshahi8721]

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

[@dollysiharath4205]

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

[@hkiki1]

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

[@dstan16224]

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

[@rifatulislamhimel6545]

Super clear explanation. Thanks for making such a lecture.

[@thudimillasaiprasad3983]

Excellent Krish I had filnally clear my self.

[@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 .

[@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.

[@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.

[@niranjannazarkar555]

Excellent way of Explanation

[@user-cc2rt9by2r]

The absolute best explanation I have ever heard!!

[@Raja-tt4ll]

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

[@gauravs3605]

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

[@kiran082]

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

[@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?? 😂

[@bryanstark324]

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

[@auslei]

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

[@arpanapathak6978]

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

[@satadrubera]

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

[@sangeethachandru7903]

Excellent teaching sir. I really understood.,.

[@nithyapalanisamy4904]

Nice explanation clearly understood and we expect more practical examples

[@subhranshusahani547]

Great Video...Very Clear Sir. Thank You

[@priyakashyap5716]

Best ever explanatory video I've seen

[@biggboss5194]

Excellent explanation

[@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

[@user-ss2ih7hh4q]

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

[@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.

[@baljitsingh-ch9jo]

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

[@KhalidFarooq786]

super presentation . full marks . excellent

[@sumantbachewar4628]

Simply you are the best sir!

[@deekshashetty4611]

Thank you for the good explanation

[@drpkgupta4469]

Thank u so much sir .very nice explanation sir .

[@maimoonasayeed5112]

Very well explained. Thank you

[@karthickk6587]

Thanks for making me understood the p value

[@Burak-cr6um]

Thank you! it was very helpful.

[@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 🙈

[@sambeetpanda86]

Simply excellent concepts..

[@kaushikreddy6419]

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

[@oliullah.mahmud]

Excellent teaching sir.

[@charmaine7301]

Awesome explanation…you got a subscriber sir🤙

[@Mee12394]

Finally understood p value 2 months before neetpg

[@tirupatimangalpelli5345]

u really explained in simple way

[@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?

[@preetisri7297]

Good one

[@mustanganiruddh2745]

OH god that was so easy ? thank you bhai

[@Dr._NextDoor]

Thank Youuuu! 🥲💙

[@Simran_Warraich_]

awesome explanation

[@biswajeetparija1972]

Very good explanation.

[@user-tw7yu7wy6u]

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

[@nirmalyabakshi2290]

Very good explanation

[@benardkiplimo3508]

Thank you!

[@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

[@mecidelhasan9398]

in one word ,amazing

[@chillvibes1896]

Well explained

[@girishmahamuni1830]

Thank you

[@abdoulazizdabo9064]

Best explanation

[@mdmahmudulhasanmiddya9632]

Great explain sir

[@aamirwazir2362]

Thanks Sir🙋🏻‍♂️👍🏻

[@ravidhandhukiya2291]

Nice explanation.

[@shreshthsharma2001]

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

[@ayushimittalmail]

Very nice video boss 😊

[@sandhyaranisahoo933]

Nice video Sir

[@louerleseigneur4532]

Thanks Krish

[@Amansingh-tr1cf]

Awesome

[@nikitasinha8181]

Thank you sir

[@MirGlobalAcademy]

Nice

[@JaydeepSinghTindori]

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

[@achintsingh4552]

Thank You!

[@mdmahmudulhasanmiddya9632]

Good explain sir

[@minakshiboruahnitmz]

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

[@kaustubhrege969]

Thank you sir.

[@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

[@sanjaisrao484]

Thanks

[@srinivasg6622]

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

[@nandinimishra3632]

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

[@funtuber9155]

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

[@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.

[@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...

[@abde1581]

Please make video on ANOVA

[@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.😊

[@vijaysolanki21996]

Nice performance sir

[@paragzade3408]

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

[@shortentertainingclips3119]

thankx

[@AmandeepSingh-yo1it]

2:47 in the term of frequentist approach

[@hellomacha4388]

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

[@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

[@abhaygupta7931]

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

[@prasadcaher]

👍

[@swapnilsarangkar6888]

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

[@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-wj5rs]

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