distillpub / post--visual-exploration-gaussian-processes

The following description of the CLT seems a little off:

post--visual-exploration-gaussian-processes/public/index.html

Lines 111 to 116 in d1ac826

    
           <d-footnote> 
        
             One of the implications of this theorem is that a collection of independent, identically distributed random variables with finite variance are together distributed normally. 
        
             A good introduction to the central limit theorem is given by <a 
        
               href="https://www.khanacademy.org/math/ap-statistics/sampling-distribution-ap/sampling-distribution-mean/v/central-limit-theorem" 
        
               target="_blank">this video</a> from <a href="https://www.khanacademy.org" target="_blank">Khan Academy</a>. 
        
           </d-footnote>.

Instead of saying "are together distributed normally", I think it would be better to say "have a mean that is distributed normally".

	<d-footnote>
	One of the implications of this theorem is that a collection of independent, identically distributed random variables with finite variance are together distributed normally.
	A good introduction to the central limit theorem is given by <a
	href="https://www.khanacademy.org/math/ap-statistics/sampling-distribution-ap/sampling-distribution-mean/v/central-limit-theorem"
	target="_blank">this video</a> from <a href="https://www.khanacademy.org" target="_blank">Khan Academy</a>.
	</d-footnote>.

CLT description seems off