CoCalc Public FilesProject / S21 / Final Project Draft / Code For project 4.ipynb
Authors: Johann Thiel, C Y
Views : 66
Compute Environment: Ubuntu 20.04 (Default)

## Dice Roll Game

###### First, we have to import numpy in to allow the simulation to work
In [1]:
import numpy as np

###### Next, we have to create four dice for the dice rolls
In [2]:
D1= np.random.randint(1,7)
D2=np.random.randint(1,7)
D3=np.random.randint(1,7)
D4=np.random.randint(1,7)

###### After that, we can make the code that runs the simulation multiple time and when there is a run that has one of the wanted result, it return a 1, likewise, it returns 0.
In [3]:
def dice_rolls():
D1= np.random.randint(1,7)
D2=np.random.randint(1,7)
D3=np.random.randint(1,7)
D4=np.random.randint(1,7)

if (D1+D2==7 and D3+D4==9) or (D1+D2 ==9 and D3+D4==7):
return 1

elif (D2+D3==7 and D1+D4==9) or (D2+D3 ==9 and D1+D4==7):
return 1

elif (D2+D4==7 and D1+D3==9) or (D2+D4 ==9 and D1+D3==7):
return 1

else:
return 0

###### Lastly, we can run the simulation multiple times, and add up all the 1 and divide it by the total run to obtain the probabilty. Which in this case we run it 10000 times
In [5]:
sum([dice_rolls() for i in range(10000)])/10000

0.0778
###### Our simulation suggest that if we were to roll four dice, the probabilty of getting a result where one pair adds up to seven and the other pair adds up to nine is 7.78%
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