x

y

y = \frac{1}{\sigma\sqrt{2\pi}} \cdot e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}

A = (-5, -1)
B = (5, -1)
a = Segment(A, B)
C = Point(a)
μ': x(C)
T1: "Mittelwert μ = " + μ'
D = (0, -2)
E = (5, -2)
b = Segment(D, E)
F = Point(b)
σ' = Distance(D, F)
T2: "Standardabweichung σ = " + σ'
f(x) = exp(-((x - μ') / σ')² / 2) / (σ' 2.51)
μ: (μ', 0)
H: (μ', f(μ'))
l: μ' - σ'
r: μ' + σ'
L: (l, f(l))
R: (r, f(r))
σ = Segment(L, R)
d = Segment(μ, H)
T6: "y = \frac{1}{" + σ' + "\sqrt{2\pi}} \cdot e^{-\frac{1}{2}\left(\frac{x-" + μ' + "}{" + σ' + "}\right)^2}"