use python3
Create a function that simulates the probabilities of the following scenarios. Then return list with corresponding probabilities.
A coin is tossed three times. What is the probability that exactly two heads occur, given that:
(a) the first outcome was a head? (b) the first outcome was a tail? (c) the first two outcomes were heads? (d) the first two outcomes were tails? (e) the first outcome was a head and the third outcome was a head?
For each scenario, calculate the true probability and ensure your estimate is within 10 percent of true probability.
import numpy as np
from math import factorial
def myfunction5():
your code here
return (a)
There are 3 coins and there can be 2 possible outcome of each coin H or T.
The sample space has size 2^3=8 and consists of triples(since 3 coins are tossed)
HHH
HHT - exactly 2 heads
HTH - exactly 2 heads
HTT
THH - exactly 2 heads
THT
TTH
TTT
def my_function():
result_list = []
a = 2/8 # (a) the first outcome was a head i.e from the above sample space only HHT and HTH satisfy the condition
b = 1/8 # (b) the first outcome was a tail i.e from the above sample space only THH satisfy the condition
c = 1/8 # (c) the first two outcomes are heads i.e from the above sample space only HHT satisfy the condition
d = 0 # (d)the first two outcomes are tails i.e from the above sample space no sample will have 2 heads under this condition
e = 1/8 # (e) the first outcome was a head and the third outcome was a head i.e.from the above sample space only HTH satisfies the condition
# add the required probabilities a,b,c,d,e to the result_list
result_list.append(a)
result_list.append(b)
result_list.append(c)
result_list.append(d)
result_list.append(e)
return result_list
list_1 = my_function() # calls the my_function() and stores the returned list into the list_1
print(list_1) # prints list_1
SCREENSHOT OF CODE WITH OUTPUT:

use python3 Create a function that simulates the probabilities of the following scenarios. Then return list...