What Is P Value In Statistics In Simple Language?

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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
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29 сен 2024

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Комментарии : 141

@krishnaik06 3 года назад

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!! ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-H9Db7ADfcXI.html

@debarunkumer2019 3 года назад

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

@ayushmanmisra1768 2 года назад

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

@rajdama205 Год назад

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 10 месяцев назад

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.

@paragzade3408 3 года назад

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

@Dr._NextDoor 9 месяцев назад

Thank Youuuu! 🥲💙

@ayushimittalmail 2 года назад

Very nice video boss 😊

@abhaygupta7931 2 года назад

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

@vivekkr44 3 года назад

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!

@VijayasarathyMuthu 3 года назад

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 6 месяцев назад

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 3 года назад

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

@vivekjoshi3769 3 года назад

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.

@hassansaeed9540 2 года назад

Totally wrong concept its not the level of significance

@JitendraKumar-lq1np 2 года назад

Well explained Sir.

@bestofbest258 Год назад

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!

@Arslanqadri 2 года назад

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 Год назад

Yes, it is not correct.

@Karthik-s4y5f Год назад

See pinned comment bro

@sherwinantony3512 8 месяцев назад

(Doubt) Probability of finding extreme point where ?

@AjitKumar-vm8xr 7 месяцев назад

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

@MirGlobalAcademy Год назад

Nice

@keerthansimhachowdary9804 7 месяцев назад

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

@dhruv3344 2 месяца назад

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.

@dr024 Год назад

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.

@Indhumathi-e9w 9 месяцев назад

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

@shreshthsharma2001 Год назад

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

@anandlearningacademy9022 3 года назад

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

@fksons4161 3 года назад

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

@AjitKumar-vm8xr 7 месяцев назад

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

@funtuber9155 Год назад

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

@35pri2ish 3 года назад

p value is not the significance level :/

@maneeshms4285 Год назад

I also got confused.

@imteyazahmad9616 3 года назад

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

@hardikvegad3508 3 года назад

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

@krishnaik06 3 года назад

Soon I will explain in a video

@hardikvegad3508 3 года назад

@@krishnaik06 thank you very much sir 🙌🏻

@imteyazahmad9616 3 года назад

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

@shrikantdeshmukh7951 3 года назад

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

@minakshiboruahnitmz 7 месяцев назад

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

@bhatkti_aatma 3 года назад

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...

@niranjannazarkar555 3 года назад

Excellent way of Explanation

@kylesnodgrass1 Год назад

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.

@rachitsingh4913 2 года назад

Most clear explanation on p-values and hypothesis.

@humble_man30 2 года назад

Are you from andhra pradesh/telengana??

@manojbanoth5942 3 года назад

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?

@Isaac-kq3ec 3 года назад

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

@kaushikreddy6419 3 года назад

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

@Alishayadav-fc6ev 6 месяцев назад

06/03/2024 great information sir!

@dadakhalandar5820 3 года назад

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

@AmandeepSingh-yo1it 2 года назад

2:47 in the term of frequentist approach

@bphanikrishna1 2 года назад

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.

@sagarparab6973 Год назад

meanse between the confidence interval

@nandinimishra3632 6 месяцев назад

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

@better_notes182 Месяц назад

Dude your the best, literally thanks a ton

@thudimillasaiprasad3983 3 года назад

Excellent Krish I had filnally clear my self.

@mehmetkahyaoglu2377 2 года назад

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 Год назад

OH god that was so easy ? thank you bhai

@videojonkie 11 месяцев назад

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

@deepika2472 2 года назад

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?

@rifatulislamhimel6545 2 года назад

Super clear explanation. Thanks for making such a lecture.

@abde1581 3 года назад

Please make video on ANOVA

@gauravs3605 3 года назад

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

@girishmahamuni1830 3 года назад

Thank you

@srinivasg6622 2 года назад

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

@manikantareddy1830 Год назад

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

@kajolbrahma1026 5 месяцев назад

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 .

@biggboss5194 3 года назад

Excellent explanation

@mandeepkour411 Месяц назад

Gr8 explanation🎉🎉🎉

@preetisri7297 3 года назад

Good one

@mecidelhasan9398 11 месяцев назад

in one word ,amazing

@mohanb655 3 года назад

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.

@AliRehman-c2g 7 месяцев назад

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

@vijayanandan3005 3 года назад

#StatQuest :)

@earlnoli 2 года назад

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?? 😂

@Simran_Warraich_ Год назад

awesome explanation

@somjitdas6034 3 года назад

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!

@satadrubera 2 года назад

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

@abdoulazizdabo9064 2 года назад

Best explanation

@medsisrinivas9468 3 года назад

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.

@nikitasinha8181 Год назад

Thank you sir

@shakibaamirshahi8721 5 месяцев назад

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

@kiran082 2 года назад

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

@Amansingh-tr1cf 3 года назад

Awesome

@sandhyaranisahoo933 Год назад

Nice video Sir

@chillvibes1896 Год назад

Well explained

@benardkiplimo3508 9 месяцев назад

Thank you!

@mahajanravish 3 года назад

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.😊

@Mee12394 9 месяцев назад

Finally understood p value 2 months before neetpg

@auslei 2 года назад

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

@drpkgupta4469 Год назад

Thank u so much sir .very nice explanation sir .

@dharmaaryayoga 3 месяца назад

Thank you

@prasadcaher 3 года назад

👍

@baljitsingh-ch9jo Год назад

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

@bryanstark324 2 года назад

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

@KhalidFarooq786 2 года назад

super presentation . full marks . excellent

@sanjaisrao484 2 года назад

Thanks

@arpanapathak6978 Год назад

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

@peer3142 7 месяцев назад

Best 😍

@hellomacha4388 3 года назад

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

@dstan16224 Год назад

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

@debjit08 3 года назад

so if p value is

@charmaine7301 2 года назад

Awesome explanation…you got a subscriber sir🤙

@christophersujoy8470 Год назад

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

@deekshashetty4611 Год назад

Thank you for the good explanation

@manjunathareddy359 3 года назад

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.