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
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
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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 |
- Compute the simulated averages and standard deviations of the number of complaints per week for each store and the total for both stores over the 52 weeks. Compare to the theoretical mean and standard deviations.
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