The equation for the normal distribution is given by:
P(x) = 1/(σ√(2π)) * e^(-(x-µ)²/(2σ²))
If we want to find P(x) maximum when µ = 0 and σ =1, then we substitute x =0. Giving:
P(0) = 1/(1√(2π)) * e^(-(0-0)²/(2(1)²))
= 1/(√(2π))
≈ 0.3989
This is also the value of the standard deviation if you were to produce a normal distribution with a maximum of 1. In order to find this σ, you must solve σ in P(x) = 1/(σ√(2π)) * e^(-(x-µ)²/(2σ²)) = 1. As the largest value that e^(-(x-µ)²/(2σ²)) can take is 1, (when (-(x-µ)²/(2σ²)) = 0), you can solve σ in:
1/(σ√(2π)) = 1
σ = 1/(√(2π))