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Great explanation! This is a hard topic. Somehow mathematically we divide by (n-1) to make our sample standard deviation less deviated from the population standard deviation.

OMG IT ALL MAKES SENSE THANK YOU

This is not correct. A p value is actually the probability under the assumption of no effect or no difference (null hypothesis), of obtaining a result equal to or more extreme than what was actually observed. So, for example, a p value for two tails is not 0.25 but 0.5, because you have to include the probability of equally likely events (two heads) and that of more extreme events, that in this case is 0.

Thank you!

S tier ahh video. Ty

Also good video, thank you.

That was both entertaining and educational, well done!

YOU DESERVE TO BE A GREAT GREATER TO GREATEST "DADDY" TEACHING THE BABIES❣️🫶🏻🕊️💯✨💖✨❣️From Me & DEITY whom Mr.E.R.M. & I visited per MY TRACKING TRACING FINDING SEEKING YOU THE BEST ON THIS FOR ME, if not for Mr. E.R.M. as he already Knew, or Knows, or is just not us each the other. Tanks with air hugs & air blown kisses!

you are awesome, thank you!

The best explanation I have ever received on this topic, thank you for this explanation

this man is so handsome oml 😭🙏

please come back. my teacher misses you

Thank you

Some people have just taken it onto themselves to make sure a concept goes straight to my mind and stays there forever. You are one of them.

You could say one radian is.. One cut of Pie.

Hats off brother. I can't thank you enough for how grateful I am 🙏🙏🙏

The GOAT

Thank you!!! This is the clearest explanation on youtube so far.

The "BEST" mathematician ever...

why did you put a square root over the n? that was unchanged from the beginning. shouldnt it be left alone?

After watching like 4 videos of what radians are I finally understood because of him! Thanks!

The best explanation ever!!🎉

BUFF NERD APPROVED

What happenes if the radius is greater then 1 does that change anything?

One of the math teachers

Very funny and educative teacher😂

How do you feel about cocaine?

thanks...seriously good explanations! i showed this to my students so they could have a deeper understanding and to let them know that some math teachers are actually cool ;-)

in the next video i.e. chi square 2 video, we calculated chi square value with a different formula than just summing up squares of Z scores as mentioned in this video. someone please clarify. thanks!

here, we did not calculate chi square as the sum of squares of Z scores like mentioned in the previous video. And also, in the previous video it was mentioned that for a chi square value with three degrees of freedom we sum 3 squares of Z scores. While in this video we calculate all 4 values. Someone please clarify. thanks!

why does the underlying population needs to be normally distributed? from your CLT video example; even if the underlying population is bimodal (let's just consider a unlikely hypothetical case that goalkeepers and defenders are much taller than players of other positions), the distribution of the means from multiple samples will always be normal right? and that should be applicable here too and shouldn't the problem be solved in the same way even if the underlying population is not normally distributed?

Thank uu❤❤

Thank you you are a real teacher my teacher sucks

Thank you, this is brilliant. You are and incredible educator.

Leaving more confused than I came in🙃😇

Regardless, you are an amazing teacher

Wtf is this resolution

thanks

you look and sound like jared padelacki

But why do you use the pythagorem theorm

Wow! Crystal clear explanation.

He forgot sqrt (of avg distance from mean squares) divided by (n minus 1) )

ruclips.net/video/zl3gWpndGcY/видео.html

great explanation! really allows for an intuitive understanding

Best thumbnail ever!

So much more helpful compared to other examples out there! :)

At 50 seconds, you said "about" pi diameters wrap around a circle. It is exactly pi diameters that wrap around a circle. I know you go on to explain it correctly but it would be best to remain constant to reduce confusion.

❤

dude you went randy savage, nice.