An automotive center keeps track of customer complaints received each week.  The probability distributions of complaints are shown below.  The random variable, xi, represents the number of complaints, and p(xi) is the probability of receiving xi complaints for two of the stores. The cost impact of each complaint is believed to be y=$10x3 where x is the number of complaints. Store A xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.20 0.25 0.15 0.10 0.05     Store B             xi 0 1 2 3 4 5 6 p(xi) 0.10 0.15 0.25 0.22 0.13 0.08 0.07   Sample from these distributions to compute the total number of complaints (store A+B) per week for 52 weeks.

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An automotive center keeps track of customer complaints received each week.  The probability distributions of complaints are shown below.  The random variable, xi, represents the number of complaints, and p(xi) is the probability of receiving xi complaints for two of the stores. The cost impact of each complaint is believed to be y=$10x3 where x is the number of complaints.

Store A

xi

0

1

2

3

4

5

6

p(xi)

0.10

0.15

0.20

0.25

0.15

0.10

0.05

 

 

Store B

 

 

 

 

 

 

xi

0

1

2

3

4

5

6

p(xi)

0.10

0.15

0.25

0.22

0.13

0.08

0.07

 

  1. Sample from these distributions to compute the total number of complaints (store A+B) per week for 52 weeks.
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