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

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3 жыл бұрын

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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Пікірлер: 443

@UnfoldDataScience Жыл бұрын

Access Hindi, English courses here- www.unfolddatascience.com/s/store

@destinyplummer3176 2 жыл бұрын

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

@YashpalNSharma 3 жыл бұрын

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 3 жыл бұрын

Glad it was helpful Yashpal.

@iktejsinghjabbal4145 3 жыл бұрын

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 2 жыл бұрын

Glad it was helpful Iktej.

@salonisingh6032 2 жыл бұрын

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.

@harshitabisht1789 Жыл бұрын

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

@shahzebshah7368 8 ай бұрын

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.

@vikrantmahajan142 7 ай бұрын

one of the best videos covering these topics.

@Natarajan7565 Ай бұрын

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

@kaciahanson5169 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Thanks a lot.

@user-el5br3ff7n 9 ай бұрын

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

@MaserekaEric-cv8dt 11 ай бұрын

Very wonderful discussion. Thank you so much.

@shubhammittal2367 Жыл бұрын

Amazing , now gets clear

@kingp4033 Жыл бұрын

This was so helpful! Thank you so much!

@36revanth 12 күн бұрын

superb man , very easily understood. appreciate it

@shurovi123 10 ай бұрын

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

@shawgaa1457 Жыл бұрын

Best explanation I have found, thank you so much

@bhavikdudhrejiya852 3 жыл бұрын

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 3 жыл бұрын

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

@TonyChipedza Жыл бұрын

Wonderful and simplified explanation, i needed this..

@divyamsaxena3198 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Wow, thank you!

@sitharaayesha792 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Glad it was helpful Sithara. Thanks for watching.

@omarali6212 2 ай бұрын

Thank you for your nice clarification about this

@a.a7493 2 жыл бұрын

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 Жыл бұрын

Thank you 😇

@SoumyaDasgupta 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Thanks Soumya :)

@arpanchakraborty2557 2 жыл бұрын

Absolutely right 😂

@adhikarieswar1372 Жыл бұрын

Nice explanation sir

@kasetyannurhanif8393 2 жыл бұрын

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

@santhoshgattoji7517 3 жыл бұрын

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 3 жыл бұрын

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 3 жыл бұрын

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

@ashitnayak1912 10 ай бұрын

Awesome explanation. Got what I came for. ❤

@jintoej2149 Жыл бұрын

Thank you for your explanation

@shashireddy7371 Жыл бұрын

Great explanation Thanks Aman

@ramu7762 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Welcome Ramu.

@nup2943 Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

Welcome

@Shanjida_tasnim02 11 ай бұрын

Best tutorial sirji

@janelynpheyloyola8988 2 ай бұрын

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

@geetadandin4302 11 ай бұрын

Explained very well Sir

@thisumamarasinghe8171 10 ай бұрын

comprehensive...Thanks

@soheilaahmadi4807 2 жыл бұрын

Thank you so much for these amazing tutorials. I am working on the ANSUR dataset which contains anthropometric measurements. there are two sets of data one for males and one for females. For females, we have around 2000 samples and for males, 4000 samples. There are about 93 features that are the same for both genders. Features such as weight, height, waist circumference and etc. I want to concatenate these two datasets and do some clustering analysis on them means looking at them as just humans and ignoring the gender. I would like to know if I can do that or I need to do some analysis before that to find if there is a significant difference between each feature for different genders. Like comparing waist circumference for males dataset with waist circumference for females dataset. Which test should I apply? and what other things should I consider? Regards

@UnfoldDataScience 2 жыл бұрын

Both ways possible, either u combine data first then analyze or vice versa. Coming to tests, many test can be performed depending on my variable type. For example hypothesis related to waist circumference can be done using anova

@bhanusreevangari509 6 күн бұрын

Excellent explanation

@rashijain7085 Жыл бұрын

You are a good teacher

@fiilixwonder7675 Жыл бұрын

You are a blessing 🙌

@rotatitatat6574 11 ай бұрын

Thank you very mush sir

@comedyworld4730 2 жыл бұрын

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 2 жыл бұрын

Keep watching

@getahunsolomonofficial Жыл бұрын

Sweet tutorial!

@muthuvijayannn Жыл бұрын

Well explained sir

@sheelarajendran2946 4 ай бұрын

Thank you so much sir...

@Akshayrenake-qg4vs 27 күн бұрын

Amazing!

@hadikhalil1939 Жыл бұрын

thanl you alot my friend

@carolhephzibahkimani8938 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Thanks Carol.

@mecareless179 Жыл бұрын

Welll explained sir

@Birdsneverfly 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Thanks for your kind words 😊

@lokesh4391 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

So nice of you Lokesh.

@purnahangsubba9400 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Thanks a lot.

@vineetkaur1667 3 жыл бұрын

Thanks for the simplified explanation, keep making more such content

@UnfoldDataScience 3 жыл бұрын

Thank you Vineet, I will

@ezequieldeleon93 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Glad you found it helpful 😊

@ravichaudhary4892 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Welcome Ravi.

@johnvarvatoss142 9 ай бұрын

BEST EXPLANATION EVER .. THANK YOU MAN

@UnfoldDataScience 9 ай бұрын

My pleasure, please share with friends as well.

@genogeno5220 2 жыл бұрын

Thank you for this simple explanation. Clears all my questions now. I have subscribed and will follow up with your videos. You rock 💪👏

@UnfoldDataScience 2 жыл бұрын

Glad to be helpful. Thanks for your positive feedback 😊.

@temiyeoluseun297 2 жыл бұрын

Thank you so much. best video on subject

@UnfoldDataScience 2 жыл бұрын

Thanks Temiye.

@Shrutiijaiswal 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

All the best Shruti. Hope exam was good.

@Islamicquranquotes786 3 жыл бұрын

I m really impressed...I will be waiting for more of ur videos.... awesome explaination ❤️❤️

@UnfoldDataScience 3 жыл бұрын

Thank you so much 😀

@rupamishraspsychology6958 Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

Thank you

@aravindsreerama7023 2 жыл бұрын

thanku very much for the guidence provided

@UnfoldDataScience 2 жыл бұрын

Welcome Aravind.

@mdtayyab121 2 жыл бұрын

Thank you so much, you really unfolded it

@UnfoldDataScience 2 жыл бұрын

Glad you found it helpful 😊

@kaiotoo7640 2 жыл бұрын

very good and simple explanations. Thanks a lot

@UnfoldDataScience 2 жыл бұрын

Thank you

@spicytuna08 Жыл бұрын

awesome clarity!!!

@UnfoldDataScience Жыл бұрын

Glad it was helpful! pls share with friends.

@AkshayRakate 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Glad you liked it Akshay.

@RohitRaj-ou7br 2 жыл бұрын

Sir, your way of clearing concept is another level 🙏

@UnfoldDataScience Жыл бұрын

Thanks Rohit, plz share with others as well

@sandipaghosh8850 3 жыл бұрын

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

@UnfoldDataScience 3 жыл бұрын

Thanks Sandipa.

@VivekPal-dj2jo Жыл бұрын

Wonderful

@unexpected2004 3 жыл бұрын

This is great! So clear and precise !

@UnfoldDataScience 3 жыл бұрын

Thanks a lot :)

@ritachaudhary5780 3 жыл бұрын

Right

@adityabenere6004 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Thanks Aditya.

@ritachaudhary5780 3 жыл бұрын

Thank u greatly. You really cleared all my confusion. Sir can we use one way anova for one categorical having two classes instead t test??

@UnfoldDataScience 3 жыл бұрын

Thanks Rita. YEs we can.

@annukaushik6803 2 жыл бұрын

Thik is awesome outstanding

@UnfoldDataScience 2 жыл бұрын

Thanks Annu.

@sureshbabuneerati6733 2 жыл бұрын

excellent explanation sir

@UnfoldDataScience 2 жыл бұрын

Thanks a lot.

@monikagadre6440 3 жыл бұрын

Excellent explanation in simple words

@UnfoldDataScience 3 жыл бұрын

Thanks Monika.

@nikhilpawar7876 2 жыл бұрын

Best statistics video on KZfaq 🔥

@UnfoldDataScience 2 жыл бұрын

Appreciate that comment Nikhil

@Kumarsashi-qy8xh 2 жыл бұрын

Thanks for giving all such good informations

@UnfoldDataScience 2 жыл бұрын

Welcome.

@abdifatahfarahhamud6426 3 жыл бұрын

Thank you sir, you make it too easy to understand thank you

@UnfoldDataScience 3 жыл бұрын

You are welcome.

@mousamibinckota 3 жыл бұрын

Very well explained

@UnfoldDataScience 3 жыл бұрын

Thanks Mousami.

@kamran_desu 3 жыл бұрын

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 3 жыл бұрын

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.

@abuarham6246 2 жыл бұрын

Thank u.i really need this video

@UnfoldDataScience 2 жыл бұрын

You're welcome Abu

@Anamika-nb3tv 4 ай бұрын

Great

@KaranRajput-nb7fo 2 жыл бұрын

badhiya bhai

@UnfoldDataScience 2 жыл бұрын

Thanks Karan.

@omsairam2828 3 жыл бұрын

Very good

@UnfoldDataScience 3 жыл бұрын

Thanks Ambily.

@archanabottu665 2 жыл бұрын

Thank you! This is very helpful.

@UnfoldDataScience 2 жыл бұрын

Welcome Archana

@sandipansarkar9211 2 жыл бұрын

finished watching

@akshitajain3174 3 жыл бұрын

Nice explanation

@UnfoldDataScience 3 жыл бұрын

Thanks Akshita.

@BintSkander 3 жыл бұрын

So helpful, thank you!

@UnfoldDataScience 3 жыл бұрын

Thank you.

@souravbiswas6892 3 жыл бұрын

Excellent explanation, keep up good work 👍

@UnfoldDataScience 3 жыл бұрын

Thanks Sourav. Happy Learning. Have a nice weekend:)

@asmitakhanna4371 Жыл бұрын

Very well explained sir, just 1 confusion difference between cat.l to cont. And cont to cont. I.e. when to apply two sample t test and logistics regression

@ankur8688 3 жыл бұрын

To the point. Hats off.

@UnfoldDataScience 3 жыл бұрын

Thanks Ankur.

@ivancarrillo1889 3 жыл бұрын

Well explained. Thanks.

@UnfoldDataScience 3 жыл бұрын

Welcome Ivan :)

@drrajkishorsharma 2 жыл бұрын

A VERY NICE VIDEO WITH SUCH AN EASY EXPLANAION

@UnfoldDataScience 2 жыл бұрын

Thanks Raj.

@ramkiran3685 11 ай бұрын

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

@UnfoldDataScience 11 ай бұрын

Thanks Ram. Hope you are doing well

@atharv_preeti 2 жыл бұрын

Thanks aman.

@UnfoldDataScience 2 жыл бұрын

Welcome Shiv.

@vishnubhandare9489 3 жыл бұрын

Nice presentation

@UnfoldDataScience 3 жыл бұрын

Thanks Vishnu.

@santoshkumargouda6270 2 жыл бұрын

please make videos on A/B testing.

@tnmyk_ Жыл бұрын

Amazing explanation! Well done!

@UnfoldDataScience Жыл бұрын

Glad you liked it Tanmay

@pembawangchuk5429 2 жыл бұрын

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

@UnfoldDataScience 2 жыл бұрын

Glad it was helpful!

@princeowususekyere2889 2 жыл бұрын

Brilliant

@nishantbisen2080 3 жыл бұрын

nicely explain ,thanks a lot sir

@UnfoldDataScience 3 жыл бұрын

Welcome Nishant.

@k.venugopalasstprofessor4880 3 жыл бұрын

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 3 жыл бұрын

So nice of you. Thanks a lot.