# Help with Normal Distribution

Because when I compile my model I get the following error message:

``````MethodError: no method matching Normal(; μ=0.16, σ=0.05)
``````
``````using JuMP, Gurobi, Random, Distributions
Modelmathematical = Model(Gurobi.Optimizer)

a = 280
w = 5
t = 18
#Parameters
Q = rand(280,5)
A = 1:a
W = 1:w
T = 1:t
FC = 3
RD = rand(280)
RHE = [150,150,150,150,150]
OHE = [25,25,25,25,25]
NE = [14,56,25,67,122]
WH = rand(18,5)

#Variable
@variable(Modelmathematical ,s[A,T]>=0)
@variable(Modelmathematical ,x[A,T]>=0)

Random.seed!(123) # Setting the seed
violationcases_ok = 0
violationcases = 0

for ctd = 1:10000
n = zeros(Float64,a)
for a in A
d = Normal(μ = 0.16, σ = 0.05)
n[a]=rand(d,1)
end

for t in T, w in W
charge = value.(sum(Q[a,w]*x[a,t]+n[a]*[x][a,t]+s[a,t] for a in A if RD[a]<=FC))
capacity = RHE[w]+OHE[w]*NE[w]-WH[w,t]
if charge <= capacity
violationcases_ok = violationcases_ok+1
else
violationcases = violationcases+1
end
end

percentage = violationcases/(violationcases_ok+violationcases)
return percentage
end
``````

It seems `Normal` does not accept keyword arguments. You have to just do `Normal(0.16, 0.05)` instead of using keyword arguments.

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