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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[iktejsinghjabbal]

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!

[bhavikdudhrejiya]

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

[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! 🙏🏻

[kaciahanson]

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

[salehmuhammad]

Brilliant explaining techniques bro. God blessed you.

[manikantareddy]

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

[SoumyaDasgupta]

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

[haillatesfaye]

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

[ramu]

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

[comedyworld]

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

[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?

[divyamsaxena]

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

[rupamishraspsychology]

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

[ashitnayak]

Awesome explanation. Got what I came for. ❤

[Birdsneverfly]

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

[kingp]

This was so helpful! Thank you so much!

[salonisingh]

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.

[purnahangsubba]

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

[santhoshgattoji]

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.

[ravichaudhary]

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