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#1




Can you put two different normal curves together and get a normal curve?
Can you put together two (different) normal curves and get a normal curve? I
tried it with male and female heights, experimenting with different meanmedianmodes. The best I could get was a plateau. 
#2




No. If you have two independent normal random variables with different means or variances, then the mixture is not normal. The density function (or histogram) will be a weighted average of the two. Generally it will have two modes.

#3




I'm not 100% sure what you're describing, but the sum of two independent normally distributed random variables does create a new normal distribution.
ETA: I see Old Guy's response...I thought the sum of normals was itself normal...oh well. Last edited by Maserschmidt; 02182018 at 03:16 PM. 
#4




Depends on what you mean by "put together". If you have one population with one normal distribution of some trait, and another with a different distribution, (like male and female heights), then no, you won't get a normal curve unless the two distributions happen to be identical. On the other hand, if you draw a number from one normal distribution, and then draw another number from a different normal distribution, and add them together, then the distribution of the sums will always be a normal distribution. In fact, whenever you do this with any two distributions that meet a few criteria, the result will be closer to a normal distribution than either of the originals was.



#5




Quote:
So if men's heights and women's heights are each normal distributions with different averages, the total (i.e. distribution of men and women) isn't a normal distribution. But the distribution of married couples' combined heights (i.e. the added height of each couple) is a normal distribution. 
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