 , 22.06.2019 21:00 vrw28

# Consider the following information about passengers on a cruise ship on vacation: 41% check work e-mail, 31% use a cell phone to stay connected to work, 25% bring a laptop with them on vacation, 22% both check work e-mail and use a cell phone to stay connected, and 50% neither check work e-mail nor use a cell phone to stay connected nor bring a laptop. in addition, 89% of those who bring a laptop also check work e-mail and 71% of those who use a cell phone to stay connected also bring a laptop. with e = event that a traveler on vacation checks work e-mail c = event that a traveler on vacation uses a cell phone to stay connected l = event that a traveler on vacation brought a laptop use the given information to determine the following probabilities. a venn diagram may . (round all answers to four decimal places.) (a) p(e) = (b) p(c) = (c) p(l) = (d) p(e and c) = (e) p(ec and cc and lc ) = (f) p(e or c or l) = (g) p(e|l) = (h) p(l|c) = (i) p(e and c and l) = (j) p(e and l) = (k) p(c and l) = (l) p(c|(e and l)) = Step-by-step explanation: Let P( E and C and L)' = 0.50 and P(Ec and Cc and Lc) = x

P(E) = 0.41 - {( 0.89 - x) + (0.22 - x) + x} = 0.41 - 1.11 - x = - 0.70 - x

P(C) = 0.31 - {(0.71 - x) + (0.22 - x) + x} = 0.31 - 0.92 - x = - 0.61 - x

P(L) = 0.25 - {(0.71 - x) + (0.89 - x) + x} = 0.25 - 1.60 - x = - 1.35 - x

1 = (-0.70 - x) + (-0.61 - x) + (-1.35 - x) + (0.71 - x) + (0.22 - x) + (0.89 - x) + x + 0.50

1 = -0.24 - 5x

5x = -1 - 0.24 = -1.24

x = -1.24/5 = -0.248

a) P(E) = -0.70 - (-0.248) = -0.70 + 0.248 = -0.452

b) P(C) = -0.61 - (-0.248) = -0.61 + 0.248 = -0.362

c) P(L) = -1.35 - (-0.248) = -1.35 + 0.248 = -1.102

d) P(E and C) = 0.22 - (-0.248) = 0.22 + 0.248 = 0.468

e) P(Ec and Cc and Lc) = -0.248

f)  P(E or C or L) = P(E and C and L)'= 0.50

g)

i) P(E and C and L) = -0.452 - 0.362 - 1.102 = -1.916

j) P(E and L) = 0.89 - (-0.248) = 0.89 + 0.248 = 1.138

k) P(C and L) = 0.71  - (-0.248) = 0.71 + 0.248 = 0.958

l) P(C\(E and L) = 0.468 + 0.958 - 1.1386 - 0.248 = 1.427 - 1.386 = 0.041 Step-by-step explanation:

Let E = events that a traveler on vacation checks works email

C = events that a traveler on vacation uses a cell phone to stay connected

L = event that a traveler on vacation broughgt a laptop

from the information given ; P(E) = 0.41, P(C) = 0.31, P(L)= 0.25, P(EnC) = 0.22

50% neither check work e-mail nor use a cell phone to stay connected nor bring a laptop= P(EUCUL)' = 0.50

9% of those who bring a laptop also check work e-mail = P(E|L) = 0.89

71% of those who use a cell phone to stay connected also bring a laptop = P(L|C) = 0.71

a) P(E) = 0.41

(b) P(C) = 0.31

(c) P(L) = 0.25

(d) P(EnC) = 0.22

(e) P(E'nC'nL' ) = 0.50

(f) P(EUCUL) = 1 - P(EUCUL)' = 0.50

(g) P(E|L) = 0.89

Also P(EnL) = P(E|L)P(L) = 0.25 X 0.89 = 0.2225

(h) P(L|C) = 0.71

(I) P(EnCnL) = P(EUCUL) + P(E) + P(C) + P(L) - P(EnC) -P(EnL) -P(CnL)

But P(LnC) = P(C)P(L|C) = 0.31 X 0.71 = 0.2201 and P(EnL) = 0.2225

P(EnCnL) = 0.1926

(j) P(EnL) = 0.2225

(k) P(CnL) = 0.2201

(l) P(C|(EnL)) = P(CnEnL)/P(EnL)

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Consider the following information about passengers on a cruise ship on vacation: 41% check work e-...

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