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DENIUS [597]
3 years ago
9

What is the answer to this problem?

Mathematics
2 answers:
MA_775_DIABLO [31]3 years ago
8 0

Answer:

the simplified answer to the problem would be x/1

Step-by-step explanation:

-1/x and +1/x cancel eachother out so the answer is x/1 :)

AURORKA [14]3 years ago
5 0

The answer to the problem is x - 1

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A service station has both self-service and full-service islands. On each island, there is a single regular unleaded pump with t
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Answer:

a) P=0.2

b) P=0.42

c) P=0.7

d) Marginal probability distribution of x:

p_x(0)=p(0,0)+p(0,1)+p(0,2)=0.10+0.04+0.02=0.16\\\\p_x(1)=p(1,0)+p(1,1)+p(1,2)=0.08+0.2+0.06=0.34\\\\p_x(2)=p(2,0)+p(2,1)+p(2,2)=0.06+0.14+0.30=0.50

Marginal probability distribution of y:

p_y(0)=p(0,0)+p(1,0)+p(2,0)=0.10+0.08+0.06=0.24\\\\p_y(1)=p(0,1)+p(1,1)+p(2,1)=0.04+0.2+0.14=0.38\\\\p_y(2)=p(0,2)+p(1,2)+p(2,2)=0.02+0.06+0.3=0.38

e) The two variables are dependant.

Step-by-step explanation:

The joint pmf of X and Y appears in the accompanying tabulation (attached).

a) Is the proability that one hose being used in the self service island and one hose being use in the full service island.

P(X=1 \& Y=1)=P(1,1)=0.2

(according to the tabulation)

b)

P(X\leq1 \& Y\leq1)=P(0,0)+P(1,0)+P(0,1)+P(1,1)\\\\P(X\leq1 \& Y\leq1)=0.10+0.08+0.04+0.20\\\\P(X\leq1 \& Y\leq1)=0.42

c) This event means that at least one hose is in use in each of the island.

P(X\neq0 \& Y\neq0)=P(1,1)+P(1,2)+P(2,1)+P(2,2)\\\\P(X\neq0 \& Y\neq0)=0.20+0.06+0.14+0.30=0.70

d)

Marginal probability distribution of x:

p_x(0)=p(0,0)+p(0,1)+p(0,2)=0.10+0.04+0.02=0.16\\\\p_x(1)=p(1,0)+p(1,1)+p(1,2)=0.08+0.2+0.06=0.34\\\\p_x(2)=p(2,0)+p(2,1)+p(2,2)=0.06+0.14+0.30=0.50

Marginal probability distribution of y:

p_y(0)=p(0,0)+p(1,0)+p(2,0)=0.10+0.08+0.06=0.24\\\\p_y(1)=p(0,1)+p(1,1)+p(2,1)=0.04+0.2+0.14=0.38\\\\p_y(2)=p(0,2)+p(1,2)+p(2,2)=0.02+0.06+0.3=0.38

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P(X\leq1)=p_x(0)+p_x(1)=0.16+0.34=0.50

e) For X and Y to be independent variables, the following conditions must be true:

  • P(x|y) = P(x), for all values of X and Y.
  • P(x ∩ y) = P(x) * P(y), for all values of X and Y.

We evaluate the second probability for X=1 and Y=1.

P(x=1 \cap  y=1) = 0.2\\\\p_x(1)*p_y(1)=0.34*0.38=0.1292\\\\\\P(x=1 \cap  y=1)\neq p_x(1)*p_y(1)

This condition is not satisfied, so the two variables are dependant.

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