#Variable declaration
Sample = set([(0,0),(0,1),(1,0),(1,1),(0,2),(2,0)])
C = set([(1,0),(0,1)])
D = set([(0,0),(0,1),(0,2)])
E = set([(0,0),(1,1)])
#Calculation
from scipy import *
from pylab import *
from sets import Set
un = C|E
inter = C & D
D_comp = Sample - D
# Result
print "Part A: ",un
print "Part B: ",inter
print "Part C: ",D_comp
#Variable declaration
n=25 #total members
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
ways=comb(25,1) * comb(24,1) # total number of methods
#Results
print "total ways: ",int(ways)
#Variable declaration
n=12 #total Questions
#Calculation
from scipy import *
from pylab import *
# Each question can be answered in 2 ways,
ways = pow(2,float(n)) # total number of methods
#Results
print "total ways: ",int(ways)
#Variable declaration
n1 = 4 # Total operators
n2 = 3 # Total Machines
n3 = 8 # Test specimens for each pair
#Calculation
Total_pairs = n1*n2
Total_specimens = n1*n2*n3
#Results
print "Total Pairs: ",Total_pairs
print "Total Test specimens: ",Total_specimens
#Variable declaration
n = 5 # Total chips
r = 5 # Total positions
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def perm(n,r):
return fact(n)/(fact(n-r))
ways=perm(5,5) # total number of methods
#Results
print "Total methods: ",int(ways)
#Variable declaration
n=20 # Total Assistants
r=3 # Assistants to be chosen
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
ways=comb(20,3) # total number of methods
#Results
print "Total methods: ",int(ways)
#Variable declaration
n = 15 # Total machines
r = 3
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
return fact(n)/(fact(r)*fact(n-r))
ways=comb(n,r) # total number of methods
#Results
print "Total methods: ",int(ways)
#Variable declaration
n_chem=7 # Total chemists
r_chem=2 # chemists to be selected
n_phy=9 # Total physicists
r_phy=3 # physicists to be selected
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
ways=comb(n_chem,r_chem) * comb(n_phy,r_phy) # total number of methods
#Results
print "Total methods: ",int(ways)
#Variable declaration
n=52 # Total number of cards
m=4 # Total number of ace
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
prob = float(comb(m,1))/comb(n,1) # Required probability
prob=round(prob,3) # i.e. 1/13
#Results
print "Required probability: ",prob,"or 1/13"
#Variable declaration
n1 = 10 # Total machines
n2 = 8 # Working Machines
r = 2 # To be selected
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
return fact(n)/(fact(r)*fact(n-r))
p1 = comb(n2,r)/float(comb(n1,r))
p2 = comb(n2,1)*comb(n1-n2,1)/float(comb(n1,r))
#Results
print "Probability: Both motors works: ",round(p1,3)
print "Probability: Exactly one works: ",round(p2,3)
#Variable declaration
n=300 # Total insulators
m=294 # insulators having capacity of withstand shock
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
prob = float(comb(m,1)) / comb(n,1) # Resultant probability
prob=round(prob,3)
#Results
print "Required probability: ",prob
#Variable declaration
# Part A
p1 = 1.0/3
p2 = 1.0/3
p3 = 1.0/3
print "[Part:A] p1+p2+p3 = 1 so it is permissible"
# Part B
p1 = 0.64
p2 = 0.38
p3 = -0.02
print "[Part:B] p3 < 0 so it is not permissible"
# Part C
p1 = 0.35
p2 = 0.52
p3 = 0.26
print "[Part:C] p1+p2+p3 > 1 so it is not permissible"
# Part D
p1 = 0.57
p2 = 0.24
p3 = 0.19
print "[Part:D] p1+p2+p3 = 1 so it is not permissible"
#Variable declaration
l = [0.07, 0.12, 0.17, 0.32, 0.21, 0.11]
#Calculation
from scipy import *
from pylab import *
p1 = l[0]+l[1]+l[2]+l[3]
p2 = l[3]+l[4]+l[5]
#Results
print "Part(a): Probability: ",p1
print "Part(b): Probability: ",p2
#Variable Declaration
p1=0.87 # probability of Repair on the engine
p2=0.36 # probability of drive train
p3=0.29 # probability of rapair as well as drive train
#Calculation
from scipy import *
from pylab import *
P = p1+p2-p3 # Required probability
#Results
print "probability of at least one kind of repair: ",P
#Variable Declaration
p1=0.81 # High fidelity
p2=0.18 # High fidelity and high selectivity
#Calculation
from scipy import *
from pylab import *
P = p2/p1 # i.e. required probability
P=round(P,3) # i.e. 2/9
#Results
print "Required probability: ",P,"or 2/9"
#Variable Declaration
n=20 # Total workers
m=8 # favourable condition
r=2 # workers to be selected
#Calculation
def fact(n):
"""returns factorial of a given number"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
P = float(comb(8,2))/comb(20,2) # Required probability=Favourable cases/Total cases
P=round(P,3) # i.e. 14/95
#Results
print "required probability is: ",P,"or 14/95"
#Variable declaration
p = 0.5 # Probability of getting head in one flip
#Calculation
from scipy import *
from pylab import *
#Results
print "Probability: ",p*p
#Variable Declaration
n = 52 # Total cards
m = 4 # Total aces in a deck
r = 2 # Cards to be drawn
#Calculation
def fact(n):
"""returns factorial of a given number"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
p1 = (float(comb(m,1))/comb(n,1)) * (float(comb(m,1))/comb(n,1)) # Required probability for (a)
p2 = (float(comb(m,1))/comb(n,1)) * (float(comb(m-1,1))/comb(n-1,1)) # Required probability for (b)
p1=round(p1,3) # i.e. (4/52)*(4/52)
p2=round(p2,3) # i.e. (4/52)*(3/51)
#Results
print "probability of two aces with replacement: ",p1,"or 1/169"
print "probability of two aces without replacement: ",p2,"or 1/221"
#Variable Declaration
p1 = 0.65 # probability of event C
p2 = 0.40 # probability of event D
p3 = 0.40 # probability of event C and D both Occuring symultanously
#Calculation
# two events are independent if P(C)*P(D)=P(C and D)
Mul = p1*p2
#Results
if(Mul==p3):
print p1*p2,"is equal to",p3,"Thus C and D are INDEPENDENT EVENTS"
else:
print p1*p2,"is not equal to",p3,"Thus C and D are DEPENDENT EVENTS"
#Variable Declaration
p1 = 0.8 # probability of event A
p2 = 0.7 # probability of event B
#Calculation
P_Intersection = p1*p2
#Results
print "P(A and B):",P_Intersection
#Variable Declaration
n = 6 # Total possible outcomes after one roll
m = 5 # favourable outcomes of not getting 6 for each roll
#Calculation
from scipy import *
from pylab import *
def fact(n):
"""returns factorial of number n"""
if(n==1 or n==0):
return 1
else:
return n*fact(n-1)
def comb(n,r):
"""returns number of total combination of selecting "r" items out of "n" """
return fact(n)/(fact(r)*fact(n-r))
P = float(comb(5,1))/comb(6,1) # probability of not getting 6 in one roll
P = P**4 # required probability
P=round(P,3) # equal to 625/1296
#Results
print "Required probability:",P,"or 625/1296"
#Variable declaration
p = 0.99 # Probability of specimen to be in compliance
#Calculation
from scipy import *
from pylab import *
#Results
print "Probability of both in compliance: ",round(p*p,4)
print "Probability of both in compliance: ",round(pow(p,104.0),2)
#Variable Declaration
# Event B-service incomplete
# Event A1- breakdown service by Janet; Event A2- breakdown service by Tom; Event A3- breakdown service by Georgia; Event A4- breakdown service by Peter
# Event B1- incomplete repair by Janet; Event B2- incomplete repair by Tom; Event B3- incomplete repair by Georgia; Event B4- incomplete repair by Peter
# we need to find P(A1/B) i.e.=(P(A1).P(B/A1))/(P(A1).P(B/A1)+P(A2).P(B/A2)+P(A3).P(B/A3)+P(A4).P(B/A4))
#Calculation
from scipy import *
from pylab import *
P = (0.20 * .05)/((0.20*.05)+(0.60*.10)+(0.15*.10)+(0.05*.05)) # Required probability
P=round(P,3)
#Results
print "Required probability: ",P