I am pretty sure this is a duplicate. Anyway, have a look at the following piece of code
x <- seq(5, 15, length=1000)
y <- dnorm(x, mean=10, sd=3)
plot(x, y, type="l", lwd=1)
I'm sure you can work the rest out yourself, for the title you might want to look for something called main=
and y-axis
labels are also up to you.
If you want to see more of the tails of the distribution, why don't you try playing with the seq(5, 15, )
section? Finally, if you want to know more about what dnorm
is doing I suggest you look here