The problem for me was that 'sample size,' 'number of samples' and 'sampling distribution of sample means' don't sound intuitively distinguishable at alll, but by stressing the difference to myself I got there
your videos make perfect sense! extremely helpful .... Can please please explain the "Use of functions in modeling" topic including a few examples to test ourselves.
You mentioned that the central limit theorem states that any distribution eventually becomes a normal distribution as you increase the sample size above 30, but what if the data is skewed? Surely it would not become a normal distribution in this case despite the large sample size? Thanks
Looking out for more videos. Keep up with the good work!
Amazing video!! The explanation is on point.
thank you for the amazing explanation!!
The problem for me was that 'sample size,' 'number of samples' and 'sampling distribution of sample means' don't sound intuitively distinguishable at alll, but by stressing the difference to myself I got there
I literally had the same problem myself too! Good lad
Excellent explanation
your videos make perfect sense! extremely helpful .... Can please please explain the "Use of functions in modeling" topic including a few examples to test ourselves.
very clear
Thank you
You mentioned that the central limit theorem states that any distribution eventually becomes a normal distribution as you increase the sample size above 30, but what if the data is skewed? Surely it would not become a normal distribution in this case despite the large sample size? Thanks
just so many different things at one time. Lost as hell
THANK YOU !!!!!!!!
Hello is it able to help me plz?
THANK YOU 💖
thanks sir!
Somple mean
✅