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this is the best tutorial to follow…would give two thumbs up if I could

Thank you

you missed lambda when p(x>0)

Finally understood. Thanks a lot

Share with me that textbook you drew the example from

Great work, David 🙂

please replace my ap stats teacher

Thank you so much

Here's my take: Suppose that our standard error is 0.2 for an estimate of B, ^B, that = 1. In that case, our estimate is 5 standard errors away from zero, which is what we assume the true B is under the H0. That’s pretty far away from the 0, far enough to suppose that this estimate of 1 is not due to the characteristics of one particular sample. There is a very decent chance that we will be able to reproduce this estimate through another sample.

Worst video yet

I am S1 who is doing this :/

Thank you ! I was so lost and this made it all click

Thanks for the video! One question: then what distribution and what test should we use to measure the critical score or p-value for regression coefficient?

Very helpful

Beast

So how can we estimate the standard error of beta hat with only 1 sample? It seems like you need access to mutliple samples to get this info? or do we use sub samples from within our 1 sample that we have?

That was so well explained, thanks! Your handwriting is amazing and explanation is clear

Hello Dave, Thanks a lot for your amazing lectures. I took statistics and failed with a D due to the fact that these concepts weren't really well explained to me who did not have a robust background in Statistics. Now I can say that your approach is making things very understandable and interesting indeed. Question: in the last problem, when you were concluding, why did you reject the null hypothesis at a 5% significance level and not at a 10% significance level as mentioned in the problem? Is it because it is a two tailed test? Looking forward to hearing from you. Thanks again!

Thank you brother your teaching is brilliant I have seen others they make it more complex , your style is straight forward with good practical and numbers examples now I understood much better, cheers

Hello sir, how would you know what % confidence interval to use given the alpha value and when you are conducting a real research? Thank you so much.

very good and useful. thanks you

Bro, the stakes are high in this video, LOL.

What are the differences between endogeneity and omitted variable bias? Can omitted variable bias be regarded as a type of endogeneity? Can you give me the examples as well?

You explained to me in two minutes what my professor couldn't explain in the last two weeks, you are a legend!

This is the best video on this topic that I’ve ever seen!

So is c the x bar?

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