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Business Statistics (BUS 505) Assignment 7 
Answer to the question no -28 
Given that, n=6 and p=. 05 
6! 
- (.05)0 (1-.05) 6 - 0 
(a) P (0) = 0!(6 0)! 
= .7351 
6! 
- (.05)1(1-.05)6 - 1 
(b) P (1) = 1!(6 1)! 
= .2321 
(c) P( X ³ 2 ) =1-P(X<2) 
= 1- P(0) – P(1) 
= 1- .7351- .2321 
= .0329 
Answer to the question no -29 
Given that, n=5 and p= .25 
(a) P(X ³1) =1-P(X<1) 
=1 – P(0) 
= 1 – 0!(5 0)! 
5! 
- (.25)0 (1-.25)5 – 0 
= 1 - .2379 
= .7627 
(b) P(X ³3) = 1 – [P (0) + P (1) + P (2)] 
= 1 – [.2373 + .3955 + .2637] 
= 1 - .8965 = .1035 
Answer to the question no -30 
Given that, n=6, p= .70 
(a) P (X³2) = 1-[ Px (0)+ Px (1)] 
6! 
- (.7) 
=1- [ 0!(6 0)! 
0 
(.3) 
6 
6! 
- (.7) 
+1!(6 1)! 
1 
(.3) 5 ] 
= 1-.010935 = .989065 
(b) Will not give, P=(1-.7) =.3 
Px(X³2) =1-[ Px (0)+ Px (1)] 
6! 
- (.3) 0 (.7) 6 +1!(6 1)! 
= 1-[ 0!(6 0)! 
6! 
- (.3) 1 (.7) 5 ] 
Page 1 of 8
Business Statistics (BUS 505) Assignment 7 
=1-.420175 
=.5798 
Answer to the question no -31 
Given that, n= 7, p=.5 
P (majority of weeks over a period of 7) =P (4) +P (5) +P (6) +P (7) 
P (X³4) =1- Px(0)+Px(1)+Px(2)+Px(3) 
7! 
- (.5)0 (.5)7 +1!(7 1)! 
=1- 0!(7 0)! 
7! 
- (.5)2 (.5)5+ 3!(7 3)! 
7! 
- (.5)1(.5)6 + 2!(7 2)! 
7! 
- (.5) 
3 
(.5) 
4 
=1-[.0078+..05469+.16406+.03413] 
=.73932 
Answer to the question no -32 
Given that, n=6, p= .15 
(a) P (6) = Px(6) 
6! 
- (.15) 6 (.85) 0 
= 6!(6 6)! 
= .000011 
(b) P (0) = Px(0) 
6! 
- (.15) 0 (.85) 6 
= 0!(6 0)! 
= 1´ .3771495 
= .37715 
(c) P (X>1)=1-Px(X£1) 
=1-[Px (0)+Px(1)] 
=1-[ 0!(6 0)! 
6! 
- (.15) 0 (.85) 6 + (.15) 0 (.85) 6 
6! 
- (.15) 1 (.85) 5 ] 
1!(6 0)! 
= 1-[.3771+.3993] 
= .2235 
Page 2 of 8
Business Statistics (BUS 505) Assignment 7 
Answer to the question no -33 
Given that, n=5, P=.4 
5! 
- (.4) 5 (.6) 0 
(a) Px(5) = 5!(5 5)! 
=.0102 
(b) Px(X³3)=Px(3)+Px(4)+Px(5) 
5! 
- (.4) 3 (.6) 2 + 4!(5 4)! 
= 3!(5 3)! 
5! 
- (.4) 4 (.6) 1 + 5!(5 5)! 
5! 
- (.4) 5 (.6) 0 
=.2304+.0768+.0102 
=.3174 
5! 
- (.4) 2 (.6) 3 
(c) Px (2) = 2!(5 2)! 
=.3456 
(d)mc =np=5´.4= 2 
(e) mc =np=4´.4 =1.6 
Answer to the question no -35 
Here, n=4 p=.4 
(a) Px(X³2)=Px(2)+Px(3)+Px(4) 
=.3456+.1536+.0256 = .5248 
Answer to the question no -36 
Here, n=50 p=.15 
(a) mx =np=50X.15=7.5 
s2 =E[(X-mx )2]=np(1-p)=7.5(1-.15)=6.375 
s = 6.375 =2.525 
Answer to the question no -37 
Here, n=2000 p=.032 
Page 3 of 8
Business Statistics (BUS 505) Assignment 7 
(a) mx =np=2000X.032=64 
s2 =E[(X-mx )2]=np(1-p)=64(1-.032)=61.952 
s = 61.952 =7.87 
Answer to the question no -39 
Here, n=620 p=.78 
(a) mx =np=620X.78=483.6 
s2 =E[(X-mx )2]=np(1-p)=483.6(1-.78)=106.392 
s = 106.392 =10.314 
Answer to the question no -40 
(a) Given that, n = 16 and p = .05 
P (X< 2) = P(0) + P(1) 
16! 
- (.05)0 (1-.05)16 – 0 + 1!(16 1)! 
= 0!(16 0)! 
16! 
- (.05)1 (1-.05)16 – 1 
= .4401 + .3706 = .8107 
(b) Given that, n = 16 and p = .15 
P (X< 2) = P(0) + P(1) 
16! 
- (.15)0 (1-.15)16 – 0 + 1!(16 1)! 
= 0!(16 0)! 
16! 
- (.15)1 (1-.15)16 – 1 
= .0743 + .2097 
= .2830 
(c) Given that, n = 16 and p = .25 
P (X< 2) = P (0) + P (1) 
16! 
- (.25)0 (1-.25)16 – 0 + 1!(16 1)! 
= 0!(16 0)! 
16! 
- (.25)1 (1-.25)16 – 1 
= .0100 + .0535 
= .0635 
Page 4 of 8
Business Statistics (BUS 505) Assignment 7 
Answer to the question no -41 
Given that, p = .20 
(a) Here, n= 10 
10! 
- (.20)0(1 - .20)10 - 0 
P 0) = 0!(10 0)! 
= .10737 
(b) here, n = 20 
P (x£1) = P (0) + P (1) 
20! 
- (.20)0(1 - .20)20 - 0 + 1!(20 1)! 
= 0!(20 0)! 
20! 
- (.20)1(1 - .20)20 - 1 
= .01153 + .05765 
= .06918 
Rules of Poisson distribution: 
( ) ( ) 
! 
X 
Px X e 
-l l x 
= 
Answer to the question no -43 
A) P x (4) = {16! /4! (16-2)! }* (0.25) 4(0.75) 12 
=.2252 
B) P x (4) = {16! /2! (16-2)! }* (0.25) 2(0.75) 14 
=.253 
C) P(S)=P(A)+P(R) 
P(R)= P(S) –P(A) 
=1-P(0) 
Answer to the question no -49 
Given that, l=4.2 
P(X ³3) =1-P(X<3) 
= 1- P (0) – P (1) – P (2) 
= 1 - .014996 - .06298 - .13226 
= .789764 
-4.2 0 
Px (0) = e (4.2) 
= .014996 
0! 
-4.2 1 
Px (1) = e (4.2) 
= .06298 
1! 
Page 5 of 8
Business Statistics (BUS 505) Assignment 7 
-4.2 2 
Px (2) = e (4.2) 
= .13226 
2! 
Answer to the question no -50 
Given that, l =3.2 
(a) P(X< 2) = P (0) + P (1) 
= .04076 + .13044 
= .171190 
-3.2 0 
Px (0) = e (3.2) 
= .04076 
0! 
-3.2 1 
Px (1) = e (3.2) 
= .13044 
1! 
(b) P (X> 4) = 1- P (0) – P (1) – P (2) – P (3) – P (4) 
= 1 - .20870 - .2226 - .1781 
= 1 - .7806 
= .2194 
-3.2 2 
Px (2) = e (3.2) 
= .2087 
2! 
-3.2 31 
Px (3) = e (3.2) 
= .2226 
3! 
-3.2 4 
Px (4) = e (3.2) 
= .1781 
4! 
Answer to the question no -51 
Given that, n= 100 and p= 5.5% l = mp= np = 5.5 
P (X< 3) = P (0) + P (1) + P (2) 
= .00408 + .02248 + .06181 = .08837 
-5.5 0 
Px (0) = e (5.5) 
= .00408 
0! 
-5.5 1 
Px (1) = e (5.5) 
= .02248 
1! 
-5.5 2 
Px (2) = e (5.5) 
= .06181 
2! 
Page 6 of 8
Business Statistics (BUS 505) Assignment 7 
Answer to the question no-52 
Given that, n = 250 and p = .01 l =mp=np =2.5 
P (fewer than 4) = P (0) + P (1) + P (2) + P (3) 
= .08208 + .20521 + .25651 + .21376 
= .75757 
-2.5 0 
Px (0) = e (2.5) 
= .08208 
0! 
-2.5 1 
Px (1) = e (2.5) 
= .20521 
1! 
-2.5 2 
Px (2) = e (2.5) 
= .25651 
2! 
-2.5 3 
Px (3) = e (2.5) 
= .21376 
3! 
Answer to the question no -53 
Given that, n = 6000 and p = .001 l = mp=np =6 
P(X³ 3) =1-P(X<3) 
= 1 - [P(0) + P(1) + P(2)] 
= 1 - [.002478 + .04872 + .044617] 
= 1- .0619688 
= .93 
-6 0 
Px (0) = e (6) 
= .002478 
0! 
-6 1 
Px (1) = e (6) 
= .04872 
1! 
-6 2 
Px (2) = e (6) 
= .044617 
2! 
Answer to the question no -54 
Page 7 of 8
Business Statistics (BUS 505) Assignment 7 
Given that, n = 60 and p = 7.5% 
7.5 )= 4.5 
So, l = mp=np =(60X100 
P (X³3) =1-P(X<3) 
= 1 – P (0) – P (1) – P (2) 
= 1- .173578 
= .826 
-4.5 0 
Px (0) = e (4.5) 
= .011108 
0! 
-4.5 1 
Px (1) = e (4.5) 
= .04999 
1! 
-4.5 2 
Px (2) = e (4.5) 
= .11247 
2! 
Page 8 of 8

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Statistics assignment 7

  • 1. Business Statistics (BUS 505) Assignment 7 Answer to the question no -28 Given that, n=6 and p=. 05 6! - (.05)0 (1-.05) 6 - 0 (a) P (0) = 0!(6 0)! = .7351 6! - (.05)1(1-.05)6 - 1 (b) P (1) = 1!(6 1)! = .2321 (c) P( X ³ 2 ) =1-P(X<2) = 1- P(0) – P(1) = 1- .7351- .2321 = .0329 Answer to the question no -29 Given that, n=5 and p= .25 (a) P(X ³1) =1-P(X<1) =1 – P(0) = 1 – 0!(5 0)! 5! - (.25)0 (1-.25)5 – 0 = 1 - .2379 = .7627 (b) P(X ³3) = 1 – [P (0) + P (1) + P (2)] = 1 – [.2373 + .3955 + .2637] = 1 - .8965 = .1035 Answer to the question no -30 Given that, n=6, p= .70 (a) P (X³2) = 1-[ Px (0)+ Px (1)] 6! - (.7) =1- [ 0!(6 0)! 0 (.3) 6 6! - (.7) +1!(6 1)! 1 (.3) 5 ] = 1-.010935 = .989065 (b) Will not give, P=(1-.7) =.3 Px(X³2) =1-[ Px (0)+ Px (1)] 6! - (.3) 0 (.7) 6 +1!(6 1)! = 1-[ 0!(6 0)! 6! - (.3) 1 (.7) 5 ] Page 1 of 8
  • 2. Business Statistics (BUS 505) Assignment 7 =1-.420175 =.5798 Answer to the question no -31 Given that, n= 7, p=.5 P (majority of weeks over a period of 7) =P (4) +P (5) +P (6) +P (7) P (X³4) =1- Px(0)+Px(1)+Px(2)+Px(3) 7! - (.5)0 (.5)7 +1!(7 1)! =1- 0!(7 0)! 7! - (.5)2 (.5)5+ 3!(7 3)! 7! - (.5)1(.5)6 + 2!(7 2)! 7! - (.5) 3 (.5) 4 =1-[.0078+..05469+.16406+.03413] =.73932 Answer to the question no -32 Given that, n=6, p= .15 (a) P (6) = Px(6) 6! - (.15) 6 (.85) 0 = 6!(6 6)! = .000011 (b) P (0) = Px(0) 6! - (.15) 0 (.85) 6 = 0!(6 0)! = 1´ .3771495 = .37715 (c) P (X>1)=1-Px(X£1) =1-[Px (0)+Px(1)] =1-[ 0!(6 0)! 6! - (.15) 0 (.85) 6 + (.15) 0 (.85) 6 6! - (.15) 1 (.85) 5 ] 1!(6 0)! = 1-[.3771+.3993] = .2235 Page 2 of 8
  • 3. Business Statistics (BUS 505) Assignment 7 Answer to the question no -33 Given that, n=5, P=.4 5! - (.4) 5 (.6) 0 (a) Px(5) = 5!(5 5)! =.0102 (b) Px(X³3)=Px(3)+Px(4)+Px(5) 5! - (.4) 3 (.6) 2 + 4!(5 4)! = 3!(5 3)! 5! - (.4) 4 (.6) 1 + 5!(5 5)! 5! - (.4) 5 (.6) 0 =.2304+.0768+.0102 =.3174 5! - (.4) 2 (.6) 3 (c) Px (2) = 2!(5 2)! =.3456 (d)mc =np=5´.4= 2 (e) mc =np=4´.4 =1.6 Answer to the question no -35 Here, n=4 p=.4 (a) Px(X³2)=Px(2)+Px(3)+Px(4) =.3456+.1536+.0256 = .5248 Answer to the question no -36 Here, n=50 p=.15 (a) mx =np=50X.15=7.5 s2 =E[(X-mx )2]=np(1-p)=7.5(1-.15)=6.375 s = 6.375 =2.525 Answer to the question no -37 Here, n=2000 p=.032 Page 3 of 8
  • 4. Business Statistics (BUS 505) Assignment 7 (a) mx =np=2000X.032=64 s2 =E[(X-mx )2]=np(1-p)=64(1-.032)=61.952 s = 61.952 =7.87 Answer to the question no -39 Here, n=620 p=.78 (a) mx =np=620X.78=483.6 s2 =E[(X-mx )2]=np(1-p)=483.6(1-.78)=106.392 s = 106.392 =10.314 Answer to the question no -40 (a) Given that, n = 16 and p = .05 P (X< 2) = P(0) + P(1) 16! - (.05)0 (1-.05)16 – 0 + 1!(16 1)! = 0!(16 0)! 16! - (.05)1 (1-.05)16 – 1 = .4401 + .3706 = .8107 (b) Given that, n = 16 and p = .15 P (X< 2) = P(0) + P(1) 16! - (.15)0 (1-.15)16 – 0 + 1!(16 1)! = 0!(16 0)! 16! - (.15)1 (1-.15)16 – 1 = .0743 + .2097 = .2830 (c) Given that, n = 16 and p = .25 P (X< 2) = P (0) + P (1) 16! - (.25)0 (1-.25)16 – 0 + 1!(16 1)! = 0!(16 0)! 16! - (.25)1 (1-.25)16 – 1 = .0100 + .0535 = .0635 Page 4 of 8
  • 5. Business Statistics (BUS 505) Assignment 7 Answer to the question no -41 Given that, p = .20 (a) Here, n= 10 10! - (.20)0(1 - .20)10 - 0 P 0) = 0!(10 0)! = .10737 (b) here, n = 20 P (x£1) = P (0) + P (1) 20! - (.20)0(1 - .20)20 - 0 + 1!(20 1)! = 0!(20 0)! 20! - (.20)1(1 - .20)20 - 1 = .01153 + .05765 = .06918 Rules of Poisson distribution: ( ) ( ) ! X Px X e -l l x = Answer to the question no -43 A) P x (4) = {16! /4! (16-2)! }* (0.25) 4(0.75) 12 =.2252 B) P x (4) = {16! /2! (16-2)! }* (0.25) 2(0.75) 14 =.253 C) P(S)=P(A)+P(R) P(R)= P(S) –P(A) =1-P(0) Answer to the question no -49 Given that, l=4.2 P(X ³3) =1-P(X<3) = 1- P (0) – P (1) – P (2) = 1 - .014996 - .06298 - .13226 = .789764 -4.2 0 Px (0) = e (4.2) = .014996 0! -4.2 1 Px (1) = e (4.2) = .06298 1! Page 5 of 8
  • 6. Business Statistics (BUS 505) Assignment 7 -4.2 2 Px (2) = e (4.2) = .13226 2! Answer to the question no -50 Given that, l =3.2 (a) P(X< 2) = P (0) + P (1) = .04076 + .13044 = .171190 -3.2 0 Px (0) = e (3.2) = .04076 0! -3.2 1 Px (1) = e (3.2) = .13044 1! (b) P (X> 4) = 1- P (0) – P (1) – P (2) – P (3) – P (4) = 1 - .20870 - .2226 - .1781 = 1 - .7806 = .2194 -3.2 2 Px (2) = e (3.2) = .2087 2! -3.2 31 Px (3) = e (3.2) = .2226 3! -3.2 4 Px (4) = e (3.2) = .1781 4! Answer to the question no -51 Given that, n= 100 and p= 5.5% l = mp= np = 5.5 P (X< 3) = P (0) + P (1) + P (2) = .00408 + .02248 + .06181 = .08837 -5.5 0 Px (0) = e (5.5) = .00408 0! -5.5 1 Px (1) = e (5.5) = .02248 1! -5.5 2 Px (2) = e (5.5) = .06181 2! Page 6 of 8
  • 7. Business Statistics (BUS 505) Assignment 7 Answer to the question no-52 Given that, n = 250 and p = .01 l =mp=np =2.5 P (fewer than 4) = P (0) + P (1) + P (2) + P (3) = .08208 + .20521 + .25651 + .21376 = .75757 -2.5 0 Px (0) = e (2.5) = .08208 0! -2.5 1 Px (1) = e (2.5) = .20521 1! -2.5 2 Px (2) = e (2.5) = .25651 2! -2.5 3 Px (3) = e (2.5) = .21376 3! Answer to the question no -53 Given that, n = 6000 and p = .001 l = mp=np =6 P(X³ 3) =1-P(X<3) = 1 - [P(0) + P(1) + P(2)] = 1 - [.002478 + .04872 + .044617] = 1- .0619688 = .93 -6 0 Px (0) = e (6) = .002478 0! -6 1 Px (1) = e (6) = .04872 1! -6 2 Px (2) = e (6) = .044617 2! Answer to the question no -54 Page 7 of 8
  • 8. Business Statistics (BUS 505) Assignment 7 Given that, n = 60 and p = 7.5% 7.5 )= 4.5 So, l = mp=np =(60X100 P (X³3) =1-P(X<3) = 1 – P (0) – P (1) – P (2) = 1- .173578 = .826 -4.5 0 Px (0) = e (4.5) = .011108 0! -4.5 1 Px (1) = e (4.5) = .04999 1! -4.5 2 Px (2) = e (4.5) = .11247 2! Page 8 of 8