1.
Customers surveyed = 100
No of. Packages arrived before the estimated delivery date = 80% of 100 = 80 packages for 80 customers
No. of packages that didn't arrive early = 100-80 = 20
70% of people whose package arrived early were satisfied = 70%of 80 = 56 customers
No of customers whose package arrived early but they were not satisfied = 80 - 56 = 24
10% of people whose product didn't arrive early but they were still satisfied = 10% of 20 = 2 customers
| Delivered Before Estimate | |||
| Yes | No | Total | |
| Satisfied | 56 | 2 | 58 |
| Not Satisfied | 24 | 18 | 42 |
| Total | 80 | 20 | 100 |
2. Conditional Probability

A) P (satisfied| Arrived Early ) = P (Satisfied and Arrived Early) / P (Arrived Early) = 0.56 / 0.8 = 0.7
B) P (satisfied| Didn't Arrive Early ) = P (Satisfied and Didn't Arrive Early) / P (Didn't Arrive Early) = 0.02 / 0.2 = 0.1
C) P(satisfied) = 0.58
D) P(arrived Early | Satisfied ) = P (Satisfied and Arrived Early) / P (Satisfied) = 0.56/ 0.58 = 0.96
E) P ( Didn't Arrive Early| Not satisfied ) = P (Not Satisfied and Didn't Arrive Early) / P (Not satisfied) = 0.18/ 0.42 = 0.42
F) P (Satisfied and Arrived Early) = 0.56
G) P (Not Satisfied and Didn't Arrive Early) = 0.18
An online retailer is studying product reviews and wants to see if customer satisfaction and timeliness...
An online retailer is studying product reviews and wants to see
if customer satisfaction and timeliness of delivery are related.
They randomly survey 100 customers. They found that 70% of those
whose product arrived ahead of the estimated delivery date said
they were satisfied with the product. Only 60% whose product did
not arrive ahead of the estimated date said they were satisfied.
Overall, 40% of packages arrived ahead of the estimated delivery
date.
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