def P(favourable_outcome, total_outcome):
p=favourable_outcome/total_outcome
print("Probability is",round(p, 3))favourable_outcome=1
total_outcome=6
P(favourable_outcome, total_outcome)from random import randint
trails= 100
outcomes=[]
for x in range (trails):
outcomes.append(randint(0,1))
head=outcomes.count(0)
tail=outcomes.count(1)
print ("Number of Trails= ", trails)
print ("Head=", head)
print ("Tail=", tail)
Last updated
Was this helpful?
Was this helpful?
trails= 10000000
outcomes=[]
for x in range (trails):
outcomes.append(randint(1,6))
one=outcomes.count(1)
two=outcomes.count(2)
three=outcomes.count(3)
four=outcomes.count(4)
five=outcomes.count(5)
six=outcomes.count(6)
print ("Number of Trails= ", trails)
print ("One", one)
print ("Two", two)
print ("Three", three)
print ("Four", four)
print ("Five", five)
print ("Six", six)
def a_and_b(a,b,total):
pa=a/total
pb=b/total
ab=pa*pb
print("P(A and B)=",round(ab, 3))red=2
blue=3
total=9
a_and_b(red,blue,total)def a_and_b_conditional(a,b,total):
pa=a/total
remaining_total=total-1
remaining_a_probability=b/remaining_total
ab=pa*remaining_a_probability
print("P(A and B)=",round(ab, 3))yellow=7
remaining_yellow=6
total=12
a_and_b_conditional(yellow,remaining_yellow,total)def a_or_b(a,b,total):
pa=a/total
pb=b/total
ab=pa+pb
print("P(A or B)=",round(ab, 3))king=4
queen=4
total=52
a_or_b(king,queen,total)def a_or_b_common(a,b,anb,total):
pa=a/total
pb=b/total
a_and_b=anb/total
ab=pa+pb-a_and_b
print("P(A or B)=",round(ab, 3))Aplus=9
girl=13
girl_and_Aplus=5
total=30
a_or_b_common(Aplus,girl,girl_and_Aplus,total)def bayes(a,b,ba):
ab= a*ba/b
print("P(A | B)=",round(ab, 3))rain=0.1
cloud=0.4
cloud_given_rain=0.5
bayes(rain,cloud,cloud_given_rain)