Matthew Goetzke
- Scenario:
Big Tech Company is mapping the success rate of successful production of Unit A. Unit A has a 70% chance to pass quality and make it to the customer, and a 30% chance of being retained for repair. The customer has a 10% chance of sending Unit A back to Big Tech Company, and a 90% chance of retaining Unit A.
- Graphic
- Interpreted for one period
State A = Unit A goes to quality
State B = Unit A is at customer
.3 * .3 +.1 * .7 = .16
.9 * .7+.7 * .3 = .84
V = [.16 , .84]
This indicates that Units at quality have a 16% chance of being retained
Jay Wilt posted Feb 17, 2023 10:52 AM
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Hello Everyone,
The application development center released a new product three months ago and the organization wants to see which users of the application are paying for accounts or how many accounts are vacant. Our records indicate that 20% of vacant accounts become paid user accounts while 80% stay vacant. The same records show another 10% of paid user accounts became vacant after a month while 90% stayed as paid user accounts.
A: Paid user account
B: Vacant account
.90(.90) + .20(.10)= .83
.80(.10) + .10(.90) = .17
V =
| .83 |
| .17 |
This means that an account has an 83% chance of staying as a paid user account during the initial vector versus the account becoming vacant.
