Anova T test Chi square When to use what|Understanding details about the hypothesis testing

Anova T test Chi square When to use what|Understanding details about the hypothesis testing
#Anova #TTest #ChiSquare #UnfoldDataScience
Hello,
My name is Aman and I am a data scientist.
About this video:
In this video, I explain about Anova, T-test, Chi square, correlation and the scenarios on when to use what. I explain with a simple data about different features of data including categorical and continuous variables. I explain about all these techniques like Anova, T-test, Chi-square, correlation in detail.
Below questions are answered in this video:
1. When to use Anova and chi-square test
2. When to use T-test for hypothesis testing
3. Categorical variable correlation
4. How to do hypothesis test using Anova
5. Chi-square correlation
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
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[@UnfoldDataScience]

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[@bhavikdudhrejiya852]

Very nice video.
Learning points of the video:
1. Test on : One continues features , Hypothesis on : mean , Comes under : One Sample Test , Name of Test : One Sample T-Test , Accept & Rejection hypothesis criteria on what scale comparison : p value
2. Test on : One categorical features - Two subclass , Hypothesis on : proportion between two class , Comes under : One Sample Test , Name of Test : One Sample Proportion Test , Accept & Rejection hypothesis criteria on what scale comparison : p value
3. Test on : Two continues features , Hypothesis on : correlation , Comes under : Two Sample Test , Name of Test : Correlation with T-Test , Accept & Rejection hypothesis criteria on what scale comparisons : correlation & p value
4. Test on : Two categorical features , Hypothesis on : proportion between two class based on other class , Comes under : Two Sample Test , Name of Test : Chi-Square Test , Accept & Rejection hypothesis criteria on what scale comparison : p value
5. Test on : One categorical feature - Two subclass & One continues feature , Hypothesis on : Difference of mean between two class(variance) , Comes under : Two Sample Test , Name of Test : Two Sample T-Test , Accept & Rejection hypothesis criteria on what scale comparison : p value
6. Test on : One categorical feature - More than two subclass & One continues feature , Hypothesis on : Difference of mean between more than two class(variance) , Comes under : Two Sample Test , Name of Test : ANOVA , Accept & Rejection hypothesis criteria on what scale comparison : p value

[@UnfoldDataScience]

Amazing. Thanks a lot for making me believe that it was understood. Keep learning.

[@YashpalNSharma]

Sample is an example set of a data population.
This video should have more views! I have read multiple blogs and sources but couldn’t understand things as easy as explained here.
Thank you again Aman! 🙏🏻

[@UnfoldDataScience]

Glad it was helpful Yashpal.

[@bipulray2294]

Greatest teachers actually teach on humble white boards ❤️❤️❤️❤️thank you sir for this awesome explanation

[@iktejsinghjabbal4145]

I have'nt come across any video with a simpler explanation of these basic statistical analyses. Kudos to the tutor for making it so simple to understand!

[@UnfoldDataScience]

Glad it was helpful Iktej.

[@salonisingh6032]

I am speechless. i am doing Phd . and currently doing course work of phd. our faculty did not taught this.i was restless for months, saw numbes of videos on youtube but nothing solved my problem. one simple video of 9 min solved my every doubt and now i am confident that i can do this. thank you so much sir.

[@kaciahanson5169]

You just saved my life with this assignment! Thank you!

[@UnfoldDataScience]

Thanks a lot.

[@divyamsaxena3198]

Beautiful... Only one word... Can't thank you enough brother... I thank god that I found you...

[@UnfoldDataScience]

Wow, thank you!

[@dayan5402]

Thanks!

[@UnfoldDataScience]

I appreciate it . Thanks for motivating me

[@salonisingh6032]

I am speechless. i am doing Phd . and currently doing course work of phd. our faculty did not taught this.i was restless for months, saw numbes of videos on youtube but nothing solved my problem. one simple video of 9 min solved my every doubt and now i am confident that i can do this. thank you so much sir.

[@UnfoldDataScience]

Thanks Saloni. I put your comment on my LinkedIn. Your comments are precious.

[@salonisingh6032]

@@UnfoldDataScience thank you sir

[@ramu7762]

I have seen many videos but your explanation is simple and easy to understand. Thank you very much.

[@UnfoldDataScience]

Welcome Ramu.

[@santhoshgattoji7517]

Perfect summary of the tests! Thanks again Aman. Now sampling : " this is the process of taking a sample of data from the actual population" and answer to your Q) "if we have numbers 1 to 100 can 1 to 10 a sample? A) generally NO because a sample should consist a min of 30 data points.

[@UnfoldDataScience]

Thanks Santhosh. my follow up question - If I tell you to take 30 sample from above data, can u take number 1 to 30? :)

[@santhoshgattoji7517]

@@UnfoldDataScience no aman, these 30 should be randomly selected from the population.

[@comedyworld4730]

This is first time I got to know which test is applicable in which situation.
Thank you so much sir.
Please make more videos on statistics
Like PCA

[@UnfoldDataScience]

Keep watching

[@SoumyaDasgupta]

The people who reacted dislikes came here for Gym videos for abs. Awesome explanation bhai.

[@UnfoldDataScience]

Thanks Soumya :)

[@arpanchakraborty2557]

Absolutely right 😂

[@adhikarieswar1372]

Nice explanation sir

[@shahzebshah7368]

Thank You Very Much, Sir.
It Takes A Lot Of Time And Brainstorming To Summarize These Concepts In Videos Like This. I Have Been Looking For This Video Since Very Long. This Video Removes All Of My Doubts.

[@RachelLi-l6o]

Dude you are awesome. I will have my first data science technical interview tmr since I did my career transition from finance. I hope everything will go on well

[@destinyplummer3176]

All the years in my undergrad...it finally makes sense, thank you!

[@harshitabisht1789]

Most simplest explanation of these topics I have ever studied. Thnx so much

[@yaksh82]

very well explained even a layman can understand why these test is used for. Thanks a Lot brother.

[@rooppsychology6958]

Excellent lecture sir. Helpful for Ph.d scholars. Very helpful. Easy to understand

[@UnfoldDataScience]

Thank you

[@manikantareddy1830]

Best one among all I watched. Cleared all my doubts. Such a great one, simplified to the core.
One small doubt:
My data is nominal Vs Nominal
2 sample
But more than 2 categories in outcome:
Example:
Type of placenta Vs Baby weight (took it as nominal)
Variable: Type of Placenta ( Normal / abnormal)
Outcome variable
Birth weight ( Low / Normal / high)
I want to see the association of Type of placenta with category of birth weight
Which test I can do for it
Thank you sir

[@UnfoldDataScience]

Chi square

[@Birdsneverfly]

Very very good video. Excellent explanation. As a Data Scientist, I can only admire this explanation.

[@UnfoldDataScience]

Thanks for your kind words 😊

[@a.a7493]

Man you just explained it sooooooo well wow… best explanation on utube i spent so many time looking and wasting time not getting it but you just killed it ❤

[@UnfoldDataScience]

Thank you 😇

[@carolMuRugi-65]

Wow! What a great explanation. I Understood everything. Thank you.

[@UnfoldDataScience]

Thanks Carol.

[@sahifasultana5800]

Well explained!!
Very good tutorial for beginners.

[@grievingflowers]

studying for media data science subject from korea university here :') thank you so much for your video!!

[@ravichaudhary4892]

Thank you so much bhai..... Specially for explaining so clearly that what is the difference between one sample and two sample..

[@UnfoldDataScience]

Welcome Ravi.

[@johnvarvatoss142]

BEST EXPLANATION EVER .. THANK YOU MAN

[@UnfoldDataScience]

My pleasure, please share with friends as well.

[@kaiotoo7640]

very good and simple explanations. Thanks a lot

[@UnfoldDataScience]

Thank you

[@KaranRajput-nb7fo]

badhiya bhai

[@UnfoldDataScience]

Thanks Karan.

[@nishantbisen2080]

nicely explain ,thanks a lot sir

[@UnfoldDataScience]

Welcome Nishant.

[@ashitnayak1912]

Awesome explanation. Got what I came for. ❤

[@Kumarsashi-qy8xh]

Thanks for giving all such good informations

[@UnfoldDataScience]

Welcome.

[@debipaikaray9084]

Great Video . Thanks

[@nikhilpawar7876]

Best statistics video on UA-cam 🔥

[@UnfoldDataScience]

Appreciate that comment Nikhil

[@vikrantmahajan142]

one of the best videos covering these topics.

[@purnahangsubba9400]

Very precise and clear explanation, thank you sir, would love to watch more videos on subject....Beautiful presentation

[@UnfoldDataScience]

Thanks a lot.

[@omsairam2828]

Very good

[@UnfoldDataScience]

Thanks Ambily.

[@subhashachutha7413]

Wow nice video

[@UnfoldDataScience]

Thanks Subhash, happy learning. Tc

[@kingp4033]

This was so helpful! Thank you so much!

[@shawgaa1457]

Best explanation I have found, thank you so much

[@ezequieldeleon93]

This is a world class video. Thank you so much.

[@UnfoldDataScience]

Glad you found it helpful 😊

[@mr.trinadhnookathotiassist6071]

Very simple and effective Aman

[@mecareless179]

Welll explained sir

[@shubhammittal2367]

Amazing , now gets clear

[@kamran_desu]

Very clear explanations.
Just to point out that correlation also has p-value for null hypothesis that there is no correlation.
I think its through the F-test (not 100% sure).
Correlation coefficient gives us the strength and direction while its p-value gives the confidence in the correlation claim.
E,g, the correlation between two data points will be 1, since its a perfect fit, however, p-value will be high since there's no confidence given low sample size.
Actually that raises another question linked to this video.
When do we use F-test? Anova?

[@UnfoldDataScience]

Yes absolutely right abt correlation. F-test is more of generic high level test whereas anova is specific type of procedure that produces f statistics.

[@haillatesfaye3579]

Thanks so much. I need more from you ....... on ordinal, multinominal and poison logistic regression...

[@AkshayRakate]

crisp and clear explanation !!!!!!!!!

[@UnfoldDataScience]

Glad you liked it Akshay.

[@ramkiran3685]

You are explaining so nicely which many people are not doing. Keep it up

[@UnfoldDataScience]

Thanks Ram. Hope you are doing well

[@y.suresh449]

Very simply and nicely explained.

[@TonyChipedza]

Wonderful and simplified explanation, i needed this..

[@sureshbabuneerati6733]

excellent explanation sir

[@UnfoldDataScience]

Thanks a lot.

[@temiyeoluseun297]

Thank you so much. best video on subject

[@UnfoldDataScience]

Thanks Temiye.

[@drrajkishorsharma]

A VERY NICE VIDEO WITH SUCH AN EASY EXPLANAION

[@UnfoldDataScience]

Thanks Raj.

[@trysonchisenga9406]

I have been enlightened, thank you

[@salehmuhammad6811]

Brilliant explaining techniques bro. God blessed you.

[@akshitajain3174]

Nice explanation

[@UnfoldDataScience]

Thanks Akshita.

[@adityabenere6004]

Thanks sir amazing .. simple and to the point explanation 🔥🔥

[@UnfoldDataScience]

Thanks Aditya.

[@shashireddy7371]

Great explanation
Thanks Aman

[@nasrullahturke4480]

Great overview brother ❤️ Really great 👍

[@UnfoldDataScience]

Thanks a ton

[@36revanth]

superb man , very easily understood. appreciate it

[@annukaushik6803]

Thik is awesome outstanding

[@UnfoldDataScience]

Thanks Annu.

[@mousamibinckota]

Very well explained

[@UnfoldDataScience]

Thanks Mousami.

[@tnmyk_]

Amazing explanation! Well done!

[@UnfoldDataScience]

Glad you liked it Tanmay

[@Shanjida_tasnim02]

Best tutorial sirji

[@k.venugopalasstprofessor4880]

GOD BLESS YOU..I think I elder to you sir.... excellent.... explanation.... great..you resembles saint RAMANIJACHARYA... who told all secrets to the world inspite of restrictions from the almighty..

[@UnfoldDataScience]

So nice of you. Thanks a lot.

[@nup2943]

You simplified everything about all tests...Thank you so much🙂

[@UnfoldDataScience]

Welcome

[@ankur8688]

To the point. Hats off.

[@UnfoldDataScience]

Thanks Ankur.

[@sandipaghosh8850]

Awesome explanation...Thank you a lot for all these videos...

[@UnfoldDataScience]

Thanks Sandipa.

[@Natarajan7565]

Sample/samples are a part of researching masses which is an ideal representation of the masses

[@samirafursule8590]

This is super informative 👏

[@UnfoldDataScience]

Thanks Samira.

[@rashijain7085]

You are a good teacher

[@fiilixwonder7675]

You are a blessing 🙌

[@geetadandin4302]

Explained very well Sir

[@spicytuna08]

awesome clarity!!!

[@UnfoldDataScience]

Glad it was helpful! pls share with friends.

[@Anamika-nb3tv]

Great

[@janelynpheyloyola8988]

Thank you so much. Very well explained. This was very helpful 😊

[@sitharaayesha792]

Thank you very much for this clear and crisp explanation. It has been extremely helpful to understand the concept :)

[@UnfoldDataScience]

Glad it was helpful Sithara. Thanks for watching.

[@MaserekaEric-cv8dt]

Very wonderful discussion. Thank you so much.

[@monikagadre6440]

Excellent explanation in simple words

[@UnfoldDataScience]

Thanks Monika.

[@Akshayrenake-qg4vs]

Amazing!

[@thisumamarasinghe8171]

comprehensive...Thanks

[@pembawangchuk5429]

thank you for your videos.
I have a difficulty in which statistical test is best for new food product development project.

[@UnfoldDataScience]

Glad it was helpful!

[@muhammedmk5650]

Good explanation brother...thanks a lot ...

[@UnfoldDataScience]

Welcome.

[@Dr.Sumesh]

Nice explanation...

[@UnfoldDataScience]

Thanks Sumesh.

[@aravindsreerama7023]

thanku very much for the guidence provided

[@UnfoldDataScience]

Welcome Aravind.

[@Shrutiijaiswal]

Thank you so so so much sir!
Amazing to see your method of teaching. Tomorrow is my exam and this is indeed helpful

[@UnfoldDataScience]

All the best Shruti. Hope exam was good.

[@mustahedinhoque4430]

If there is two continents variable then we do co-relation coefficient as you said ..can we do t test for two independent continuous variable.... Or is it necessary the continuation variable should be dependent.

[@muralir3551]

Great Explanation Sir

[@UnfoldDataScience]

Keep watching murali.

[@muralir3551]

Sure sir
I won’t miss

[@princeowususekyere2889]

Brilliant

[@lokesh4391]

Thank you so much Aman . You videos are very clear and able to understand very easily.

[@UnfoldDataScience]

So nice of you Lokesh.

[@archanabottu665]

Thank you! This is very helpful.

[@UnfoldDataScience]

Welcome Archana

[@jintoej2149]

Thank you for your explanation

[@mdtayyab121]

Thank you so much, you really unfolded it

[@UnfoldDataScience]

Glad you found it helpful 😊

[@RohitRaj-ou7br]

Sir, your way of clearing concept is another level 🙏

[@UnfoldDataScience]

Thanks Rohit, plz share with others as well

[@abuarham6246]

Thank u.i really need this video

[@UnfoldDataScience]

You're welcome Abu

[@MelkamuMelese-h1w]

I have'nt come across any video with a simpler explanation of these basic statistical analyses. Kudos to the tutor for making it so simple to understand!

[@UnfoldDataScience]

Glad it was helpful! Please share with friends

[@shurovi123]

Very well explained and to the point. Thank you so much.

[@akshaypatil8155]

Sir for logistic regression you mentioned, continous as independent, categorical as 'target'? What do you mean by target? What do you mean by independent in this case?

[@UnfoldDataScience]

Hi Akshay,
independent variable is also known as "features or predictors"
dependent variable is also known as "target or response"

[@OMaMaRMY]

good teaching sir

[@UnfoldDataScience]

Thanks and welcome

[@getahunsolomonofficial]

Sweet tutorial!