Tutorial 32- All About P Value,T test,Chi Square Test, Anova Test and When to Use What?

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[@tanvirshakir]

Amazing, its like my 5-6 hour online class video merged into a 12 minute video.

[@abhishektyagi101]

Amazing video sir... It has cleared my doubt on one of contradictory topic. Thank you very much for this teaching........

[@jibinjosemathewjibinjosema7617]

Thank you so much Sir...now i learned and understand the difference in between the T test, correlation, ANOVA.. P value significance ...etc

[@BiancaAguglia]

This was a good overview of the different hypothesis tests. Looking forward to seeing more videos from you in this series. 😊

[@anamikalahiri2031]

Thanks SAR

[@ammar46]

You cannot take up any test, like if you want to use a binomial test, then your question should follow that binomial distribution.

[@anandacharya9919]

Super and Great, This was what I was waiting for long time, Thank you again 🙏

[@priyankasaklani7703]

Wonderful explanation, thank you very much for making it so easy and interesting

[@yugoshreesarkar3440]

Thank you so much for putting it all together in this concise video.

[@abidhussainwani3028]

It's the best overview of tests I have seen on KZbin. Awesome dear sir.... Thank you.

[@zarmeenakhan899]

best channel for learning statistics i've found so far. Great job

[@ogahgodwin2390]

You're doing a great job, sir. Understanding these concepts is as important as knowing how to code.

[@rajatchaturvedi9332]

Watching you hustle...i push my limits 🙏 Thanks you so much Sir.

[@arshadaafaqd8636]

Hey its three year's, what were you hustling, did you achieve that?

[@abhinavraghunandankannan3546]

Good job !! Some parts of the explanation can be improved, especially your point about ANOVA test when a categorical variable has more than 2 possible values. Consider slowly down and collecting your thoughts together and your videos will be even more effective.

[@tehminakakar8753]

Yeah, I have the question, when he takes Gender and Age Group, then he used Chi-Square test, but later said when a category containing multiple values (not binary) then we use ANOVA.

[@neetaszone774]

Sir I wish to watch all your vedios ..I subscribed it.. pl send all liks regarding Excell,data types, hypothesis testing,

[@nikhilpriyanka]

I am grateful for the brief information for the various test in the hypo & null hypo. helpful

[@tulasikrishna5429]

Typically you reject Null Hypothesis or You Fail to reject Null Hypothesis. "Accepting" H0 or Ha term is typically not used..

[@RANJEETSINGH-tr4ko]

I had the same point, either we reject Null hypothesis or we fail to reject it.

[@utkarshvikas7983]

Take null - *they are independent*and then proceed.

[@Tusharchitrakar]

Exactly. You don't accept either alternate or null hypothesis.

[@kkilua6956]

Thank you so much. I love your method and pace of teaching.

[@betanapallisandeepra]

thank you for doing this video. it is a very useful and good explanation with a simple example.

[@MrMultiSuprime]

You sir are amazing! Thank you for this video!

[@peacefulvibes1089]

Great explanation, much better than the education I received in the last three months combined.

[@ranga-bashyam]

sir! really blessed to watch your videos!! ur passion towords it make me feel enlightned 💯🙏

[@sadhnasingh877]

Hi Krish, thanks for this amazing video. Could you explain this using python with the sample data set.

[@anikethdeshpande8336]

Thank You, very clear explanation

[@silmoonislam9537]

thank you so much!! you make things easier!!

[@johnokech4232]

Amazing this has given me a clear understanding.

[@bhargavpotluri5147]

Thanks for the compacted video & all the tests at one place. I don't think so there is any other video on you tube explaining all the tests in such short & meaningful way. Nice video. Also, just got a doubt what test do we need when there is a categorical & numeric variable combination?

[@Mangkuisingsit]

If I'm not mistaken, acc to what he say if there are combination of categorical and numerical where both categorical and numerical variables has more than two distinct sets of value or group then Anova test should be apply.

[@vijayabharathi7239]

Super krish naik jeee crystal clear explanation …..preparing for PhD It’s helping me a lot thank you once again

[@abhaypratap5311]

Hi I m trying to build a entropy based filter which could categorize benign and malicious domain..so I need a threshold value, got some value between 3 to 4 above 4 value it laying in malicious category so the optimum value would be between 3 to 4 so how 2 optimize it ?

[@user-en5yv3iu2p]

Very good explaining sir. Thank u ❤

[@RevenueRocketeers]

Thanks for the lucid explanation.

[@debjeetdas1882]

Hello, Can you please add a video implementing the pipelining technique for ensembling more than two different algorithms together.

[@ShachisAcademy]

Its great to seea good video on hypothesis testing.... good going..

[@VVV-wx3ui]

I think the starting point of Data Science is the Analysis of Data and these tests determine the Algorithm and the Regularization method to implement to minimize the cost function (RSS). Read recently that 1) Co-variance and Multi-Collinearity would have impact on the Coefficients and NO impact on predictions 2) There are L1 and L2 Norm regularization methods. A study (Mark Schmidt CS542B Project Report December 2005) says that L1 with Optimizing Least Squares is better than L2. Reason being that L2 does not address Parsimony (sparsity) of the model and Interpretability of the coefficients values and all it aims is Shrinking the Coefficients. L1 regularization has many benefits of the L2 and yet, sparsity and interpreting coefficients is easy. While above two are understandable in English but not as Statistics. May I request you to cover these, if possible, in your next session. Its so nice to see "whys" and "whens" in this video, which I think is the matter for Data Scientist. Great Work Krish. Please keep it going with more Whys and Whens.

[@sandipansarkar9211]

Thanks Krishh for the awesome video.

[@gajendrap.s.raghava6421]

Excellent video, describe concept clearly

[@anynegi7456]

Thank u so much sir it really helped me a lot to understand this concept

[@Tungse98]

Easy to understand.. You have enlightened me :D

[@NavdeepSingh-bm8or]

very nicely explained. Thank you

[@adilzia]

Hello doctor. If I want to see the change in sales before and after the covid19. Then should I use paired sample t test or any other test. Can you please suggest.

[@prashanthshetkar2350]

thanks alot for this beautiful content

[@noornajwabintimdamin_2882]

Good job!! I really like and understand your video.

[@musabtanzeel4030]

Thank You sir... It was very knowledge full

[@ZEA_TATA]

This video clear 80% of our Hypothesis testing concepts. It's a very good explanation.

[@sanjeetsingh-iz1rb]

What about the remaining 20% of the concepts

[@___DannyBoyka]

@@sanjeetsingh-iz1rb significance level is 20% in this case

[@user-qb9qf5mb5s]

Thanks a lot. Thanks for excellent explaination

[@jigneshjash89]

Thanks this helps!!

[@orangemegamind]

Very informative video!!😃

[@saurabhpaul1602]

Great video👍👍 really helpful

[@sameergoilkar9956]

best playlist i have seen ever

[@sagarkumarbudihal3026]

Thank you very much, Krish. Tomorrow I have a mock interview on Machine Learning. a lot of thanks to you.

[@anandacharya9919]

Which company ??

[@gh504]

Thank you so much for this nice explanation

[@thulasirao9139]

Awesome explanation thank you

[@kamran_desu]

Very nice explanation. Linked to these types of tests, when do we use the F-test?

[@pallavibub5804]

Well explained! Thanks

[@febryistyanto1611]

super and great video. it's powerful for me

[@himaanshusingha]

Sir you explained it very well, in a very easy to understand way. The only problem was audio quality. Else everything was perfect.

[@sandipansarkar9211]

watching the video for second time for revision. Thanks

[@vijayabharathi7239]

Your explanation creating interest to learn statistics

[@victorcapitano]

Thank you for your effort sire

[@Srikakolapu]

Is there any relation between choosing null hypothesis and p value computation ?

[@sakthivelnathan8525]

Excellent Teaching. Thanks

[@maheshsharma6521]

Very well explained Krish

[@Anwerkhursheedofficial]

superb well explained appreciated

[@moncykurien18]

Hi Krish, Great video. Thank you very much. Can you please do a video on Z-test vs T-test?

[@sayakpalit3615]

Best explanation.. 👍👍

[@Agrima_Art_World]

How can we apply ANOVA test on mix of Categorical and Continuous Variables ?

[@dennismwangi3573]

Helpful explanation.

[@jijie133]

Great video!

[@scientificidol]

You need a correction: Rejecting the null hypothesis does not mean that we accept the alternate hypothesis. We never accept the alternate hypothesis. We only reject the numm hypothesis or fail to reject. We don't do anything with the alternate hypothesis.

[@Darklord-uk6yi]

could you point to some more references of what you have said, cause till now even i thought that if we reject H0 we accept H1, if not references then maybe explain a bit more as to why. thank you!

[@roshr9620]

Dear Sir Thanks for the informative video. I have a query about using regression in longitudinal data (I have survey data collected at 4 different times). Now how to analyze this data? (Say a relationship Satisfaction--> Loyalty. Now I have four Beta values at 4 times. How can I use this data to help formulate a longitudinal relationship between Satisfaction and Loyalty?) Thanks

[@user-ih2xc1dg2c]

Very helpful thanks

[@aishwaryadey8713]

You speak very fast! thank you for explaining so well

[@ajinkyaadhotre5336]

play video on 0.5x

[@shivambhayre5056]

Krish we understand the concept but don't know how to implement it in real dataset on python or R please make video on that by doing in jupyter notebook or rstudio.

[@vijaypalmanit]

We can only reject null hypothesis but never accept alternate hypothesis. Based on test we can only conclude that we either have evidence in favor of null hypothesis or not.

[@nishantkotnala7278]

MaNY Thanks bro , you sorted me out!!

[@adityapatnaik6079]

THIS IS YOUR BEST VIDEO SO FAR !

[@tinamukherjee6605]

Excellent teaching

[@nilupulperera]

Very good video again as earlier. The way of connecting different concepts together is the difficult part for beginners and students. Your approach to answering the above issues are excellent Krish. Thank you very much. Please continue your good job for this world.

[@JaydeepSinghTindori]

we can't say that the t-test and chi^2 is used only for the categorical variable. We can use it or analysis of mean, variance etc.

[@thirupathireddy6149]

krish, I have observed that you mentioned to use T - test for two numerical variables and again you mentioned correlation test.

[@surekhagaikwad2801]

Sir, how we will do statistical test for increasing the presence of certain object (like ships/solar panels) in the images instead of using entire dataset.

[@chiragagrawal7104]

When we should consider that this will be null hypothesis and this will be alternate hypothesis?

[@careerpaththrissur]

Excellent Class Sir ....

[@nniv1986]

Excellent tutorial

[@animeshsharma7332]

very clearly explained..

[@drm.rukmanimariappannadar3876]

THANK u sir Good explanation

[@lokeshdange4705]

thankx sir i'll get the concept

[@sumanjeetynr85]

thanks sir u clear my all doubts. plz sir make a video on pearson chi square

[@amazingvideoswithyasser9574]

sir, I want to find if there is difference in the rate of errors between males and females. which test can i apply?

[@alishbashahid5736]

Having a majorcard would give information that person is self employed or not, what type of statistical technique will apply?

[@fulcrumfinancialservice4745]

Excellent ... please upload more videos

[@shantipriya370]

wonderful explanation

[@sulaimankhan8033]

God Bless you Sir ...

[@malinyamato2291]

love real whiteboard lessons like yours..... my professors are dull and just run powerpoints during lectures half asleep.

[@rohitmathur8188]

as always awesome

[@syedarfa1046]

Thank you for the amazing explanation sir. If we are comparing continuous variables we use corelation, wt if we are comparing 2 continuous variables in 2 groups as in comparison of newborn anthropometry (length and wt) in anemic and non anemic group. Kindly guide me. Thank you

[@cinemascope8847]

Can anybody explain what to do if null hypothesis is rejected ? Should we keep that feature or remove that feature?

[@priyankashrivastava2542]

Very nicely explained

[@krishnakanthchowdarybandi9838]

sir can p value,T test,chi Square test be implemented to CNN if so please make a video on it with practical implementation

[@SAS020]

The p-value is the likelihood of the observed data, given that the null hypothesis is true. The more it is low, the more we are confident to reject H0

[@soujanyabagam2034]

Hi sir, How can we decide what is null hypothesis and what is alternate hypothesis?

[@ArunKumar-sg6jf]

when there is difference what is impact of it in model

[@dilipnigam007]

Thank you buddy