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Thanks so much for your kindness.❤❤❤

this is actually so so helpful thank uuuu sooo much

Thank you! Thank you! I've been searching for more than 20 minutes on Google to get the exact value ( at 5:25) and not the rounded 1.96! Wow! Thanks again!

Thanks!!

Does Descriptive Statistics work with multiple columns and rows?

U made the concept easier. Thx a lot!!

🎉

Hello! Could you explain why the var of Y is the same as the variance of e? You said it is because X is not random, but what does it imply? Thanks!

Super helpful, thank you.

You are perfecttt. Thank you very much. Wishing you a long and healthy life x

expectation and average are different

Clear and straight forward. Thank you. However, what if the total population is limited, how do we factor that into the sample size calculation?

4:26 why is it the same??

2:36 wait why is e multiplied by e transpose the same as e^2?

5:24 wow…I didn’t even know beta could occur in exponents….this is all very new, could you recommend some stats textbooks that are effective in covering higher order concepts

THEN HOW WILL WE CALCULATE E(XY) ??, DO WE USE DEPENDENT LIMTIS THERE AS WELL, ??

Hey, thank you for this video.

Thank you! So helpful 🙏

Indeed a lifesaver !!!

Thank you!!

Great video!

amazing!!!!!

thank you very much

thanks so much!!!! I FINALLY UNDERSTANDT

thanks

Can you post a video showing why y0 and y0 hat are independent? BTW, I love your statistics videos. They are very helpful!

Thank you, at last these error iid's are explained properly.

Amazing content on this channel! Very crisp explanations. A playlist on machine learning topics such as Logistic Regression, Gradient Descent Optimization, PCA, SVM, Decision Trees, Multi-layer Perceptrons, feed-forward neural networks, etc would be amazing!

This taught me in the first two minutes what my graduate-level professor was unable to teach over two days. Thanks!

Thank you! Great presentation!

I am very glad this came up on Google. Thank you for making this and for giving it a title that came up in my haphazard googling.

Mam, please upload lectures of BAYESIAN STATISTICS

Wow❤🎉

Im doing a variation of this problem where Pk is the probability that no two people share the same birthday, and I am supposed to show that it is maximized when all birthdays are equally likely. Which means that for any birthday i, Pi = 1/n where n is the number of possible birthdays. Anyone know how I should start going about this?

Thanks you are very helpful!

YA SEN NE BÜYÜK Bİ ADAMSIN BE KARDŞEİM

Ya sen dünyanın en iyi matematikçisin aq ya adamsın adam

you just saved my ass on this problem set thank you 🥲

Thanks for the amazing video! Very intuitive and well-explained. How would derive the same for multiple non-linear regression. For eg: Exponential curve-fit: y = e^(ax), where a is the parameter

how did you express Var(x bar) in terms of expected value of (x bar square) and (expected value of x bar) square . Where can I read more theory about it.

cool examples! Now I understand the concept of pdf

very helpful, thank you so much!

Great explanation! Thank you.

Thank you soo much, just what I needed.

Wow thank you so much for your explanation Im really so glad that you use different colors for deriving something out of the main problem ❤ It helps us to understand better 💓Again Thank you so much😄

How do you display the selection summary output that actually shows you the CP term? I keep getting a table that shows the AIC, SBIC, and SBC. Do you know why this discrepancy in our output exists? I am using the same package and function as you are.

KK Wagh Institute Of Engineering Education And Research, Nashik

Thank you

very helpful! Thank you!

yooooo that's really good thank you!