**Üstel dağılım**

import numpy as np

N=1000
lamda=2
u=np.random.rand(N)
 
x=(-1/lamda)*np.log(u)

ort=np.mean(x)
m=1/lamda

var=np.var(x)
v=1/(lamda**2)

beta=1/lamda
x1=(-beta)*np.log(u)


"""Üçgen dağılımı"""

import random
import numpy as np

a=2
b=7
c=5
t=4
Fc=(c-a)/(b-a)
x=[]
u=np.random.rand(t)
for i in range(t):
    
    if 0<=u[i]<=Fc:
        x.append(np.sqrt(u[i](b-a)(c-a))+a)
    else:
        x.append(b-np.sqrt((1-u[i])(b-a)(b-c)))
        
m=np.mean(x)
E=(a+b+c)/3

v=np.var(x)
Var=(a*2+b2+c*2-a*b*c-b*c)/18



"""Weibull dağılımı"""

import math
import numpy as np

alfa=2
beta=2
t=4

u=np.random.rand(t)
    
x=beta*(-np.log(u))(1/alfa)

m=np.mean(x)
v=np.var(x)

E=alfa*math.gamma(1+1/beta)
Var=(alfa*2)(math.gamma(1+2/beta)-math.gamma(1+1/beta)**2)


"""Binom dağılımı"""

import random
import numpy as np

p=0.3
n=2
t=5
x=[]

for i in range(t):
    y=[]
    for i in range(n):
        u=random.random()
        if u<=1-p:
            y.append(0)
        else:
            y.append(1)
            
    x.append(sum(y))
    
m=np.mean(x)
v=np.var(x)


"""Bernoulli dağılımı"""

import random
import numpy as np

p=0.4
t=5
x=[]

for i in range(t):
    u=random.random()
    if u<=1-p:
        x.append(0)
    else:
        x.append(1)
        
m=np.mean(x)
v=np.var(x)


***Kesikli Dağılım***

import random
import numpy as np

p=np.array([0.4,0.3,0.2,0.1])
x=np.array([1,2,3,4])
n=10000
u=random.random()
for k in range(n):
    if sum(p[0:k-1])<u<sum(p[0:k]):
r=x[k-1]