You clarified in 30 minutes what my professor confused me about for three months. Thank you -- you're an excellent teacher.

One of the best teacher in my life. He made complicated thing like a cake

Hands down the best explanation of ANOVA on yt

Thanks for condensing the entire ANOVA concept and your hours and hours of effort into 30 minutes and explaining it so succinctly. Thanks!!

This is the best video on ANOVA ever made

Thank you so much. I've spent weeks looking for a video like this one.

Thanks Andy for sharing this great video!!!

Finally, ANOVA makes sense to me! Very well explained! Thanks Andy. I have subscribed to the channel for more useful videos as such

The best I have seen so far. The example alone does wonders ❤

Fantastic explanation. Loved how you delivered it. Cheers Andy.

An Excellent Overview of ANOVA. Highly Recommended!

very clear explanation!!! I now know what is ANOVA 🥰 (learned it several times but unclear about its core meaning 😮‍💨

Best explanation so far! thank you!

Best explanation so far, really great job!!

Thank you so much! You have done what so many books and so many youtube videos couldn't do: which is to make me understand ANOVA. You are a hero .... God bless

You really changed my prospect toward biostatistics ( MD. by the way ), getting my Masters in Clinical Research. I really enjoyed it , believe me. Thank you. Really!!

The Anova Test couldn't have been explained better! Thank you for this video!

Excellent video !!! Super explanation ! Thank you so much !

Thank you so much. Enjoyed the lecture.

Great explanation! Thank you so much!

WAW ! what a useful video Thank's for this wonderful explanation

BEST Anova video EVER!

Thank you that was superbly done. Massive help for my assessment

MY GUY!!! Thank you, super well explained video. Thank you so so much :)

Thanks a lot for the extremly well explained ANOVA video.I have been struggeling with this subject in stats. Until i came accros your video! Greetings from Holland!

hands down fantastic video 👏👏👏please don't stop making awesome videos like this sir

You have made Perfect and simple-to-follow explanations regarding ANOVA... Saved me a lot of time and energy. Thank you so much!

Thanks Andy...it was great video! one checked towards the preparation of final exam!!!!

Fully, well expalined! Much better than our profs lol

Crystal clear explanation, thanks!

Thank you so so much...I finally understood ANOVA!!!!

Best ANOVA explanation in YT!!! Love how you repeated key concept again and again, now its completely clarified from the confusion i got before watching.

Fantastic video. Thank you

Great Presentation!

Incredibly clear explanation 5/5 stars !!!!!

Thanks Andy, the example really helps

Great video, super explanations, elegant English (that even I can well understand)!

That incredible, well explanation

Very nice explanations. This lecture got me to understand well.

Wow, you are so good. This was well explained.

Thank you so much this was really helpful! 💕💕💕

Thank you. Very Helpful conceptual model!

Thank you so much!!!! This is very helpful I hope you will discuss more in statistics like One way to two way anova, chi square and etc.

Great presentation!

Thank you very much. It is really Great video👏👏👏

Very well explained especially the null hypothesis :-) THank you

This is an incredible video, thank you so much for making it, very helpful to me as a college student!

Very good explanation....congratulation...!!!!

Thank u for sharing! It's very easy to understand for me despite English is my second language. Great video

This is an excellent video

Well explained, thank you so much 🎉

Simple and clear explanation 👌 tnx

Great video, thank you

Thanks for your time and effort sir. Great video

👏👏👏Great video, I just came across it and it’s informative. Thank for the patience in explaining every step in details.

Thank you so much

awesome. Thank u so much

Thank you!!!!

Thank you very much for this your detailed explanation of ANOVA, I can comfortably use ANOVA in analysis. How i wish i can see, excel and sql video like this. Thank you Sir.

Very useful

best brother today is my exam of data science and this video help me the way out appreciate a lot may god bless you

The data doesn't "prove it," but rather, suggests it... because a Type One error is still possible. That's why we say reject the null hypothesis and not disprove the null hypothesis. The reject/fail-to-reject language points to the difference between proof and evidence. But still... a very nice video!

Thank you

Hey mate, I have certain independent values(Laying speed, force, Torque, acceleration and deceleration). I want to do an DoE. Now these are the process parameters of the machine, which has 16 heads. These 16 heads can be controlled simultaneous. Id like to use 3 of them and test the parameters on each of them. Besides that, the tape may vary aswell, since it can be wider or thicker and it's up to the producer. How do I setup my DoE Plan?

nice video boss

thanks

The reason we do variance when it’s talking about mean, Isn’t it still doing mean calculations? Since variance = some form of Geometric mean?

Great video, thanks Sir. A question migjht to ask, where we can calculate the critical f-value? how this 2.866 was calculated?

Since alternate hypothesis means that atleast one mean is not equal, does it also mean the group that has different mean is not impacting horsepower at all and there might be other unknown factors in play, causing mean of that group sample to be different from actual dataset mean?

Great Content. But I think there is a small calculation mistake, (1831 + 148), should sum to 1979 right?

i really wish i saw this material much earlier.

good

query: the way f test works to my understanding is, we compare mst (biased if null rejected) and mse(unbiased in any case) estimate of variance (sigma square), if they are different, the test show. what i wanted to know is what is sigma variance of? the larger population the means are from if null is true? if null is false how is it that mse still gives sigma, when one of the sample isn't from the population at all? or do the means belong to a general population regardless of null or alternate hypothesis? thank you for your videos by the way, it was really easy to grasp and went indepth

Great explanation, much appreciated. The only thing i am confused about, why do we need to write the total line for anova table? Before we need to calculate the F value, why do we need to determine total line at all? It has nothing to do for calculation of F neither the F table, right? Which point i am missing?

There’s something to be said for seeing it all broken down. It’s my pet peeve when someone treats a stats tool like a black box then ties their colours to the mast without appreciation of all the out falls and inner workings. Great video, I’ve often wondered how to cross validate duplicate tool performance correctly and now I know.

Is this applicable to two-way anova with interactions?

But you need to calculate the MSE for each group, right? How did you do it in the video?

Sir i want you to advice me that i have a degree with stats , econ. , maths stream so after graduation , what will be the opportunity for me nd sir your ANOVA table is my favorite😍❤

Hello sir! Is it possible that the within groups is much higher than the between groups? Is it valid?

this guy is him

How do I get the Excel calculation spreadsheet and cheat sheet, please?

Can we get the slides from the video?

Where was this Last Month😢

7:40 Being that guy, "effects" should be "affects" 😋

im having difficulties trying to calculate the sst :c

If you have 3 treatments, say Machines A, B and C which all fill paint tins with paint. Long term each machine dispenses the same average volume of paint into each tin, and the volume of paint dispened into each tin for each machine varies randomly according to Gaussian distributions, but machine A does so with very little variance, Machine B with a reasonable amount of variance and C with a huge amount of variance. If you take n tins filled by each machine and measure the volume in each, wont running this type of ANOVA test lead to a reasonably high MSE, a tiny MST and as such a very small F-value? Which would lead to a failure to reject a null hypothesis of the form u_a = u_b = u_c (correctly since they are in fact all the same) but seemingly not identifying that the treatment is clearly effecting the variance? I don't get why something names Analysis of Variance would be blind to treatment effects on variance?

How the "SUM OF SQUARES OF THE TREATMENT" IS COMING; 1831 , I have calculated over and over but still i am not getting 1831 instead i am getting 729 as MST. can YOU please clarify this.

Simplified

love u

Thank you