G
Guest
Guest
Is there a easier way to understand using Bayesian analysis form and the
decision tree?
WORK DONE :
Dealership Gas Shortage (.6) Gas Surplus 9.4)
Compact Cars 300,000 (.6) 150,000 (.4) =
240,000
Full Size Cars -100,000 (.6) 600,000 (.4) =
180,000
Trucks 120,000 (.6) 170,000 (.4) =
140,000
What is the expected value of this strategy?
What is the maximum fee the owner should pay the analyst services
Compute the efficiency of the sample information for the Friendly car
dealership?
This is the entire question: The probability that the analyst will indicate a
shortage given that a shortage actually occurs is .90; the probability that the analyst will indicate a surplus given that a surplus actually occurs is .70.
I don't understand how I am to get the solution after the first part. Can you please help me understand.
decision tree?
WORK DONE :
Dealership Gas Shortage (.6) Gas Surplus 9.4)
Compact Cars 300,000 (.6) 150,000 (.4) =
240,000
Full Size Cars -100,000 (.6) 600,000 (.4) =
180,000
Trucks 120,000 (.6) 170,000 (.4) =
140,000
What is the expected value of this strategy?
What is the maximum fee the owner should pay the analyst services
Compute the efficiency of the sample information for the Friendly car
dealership?
This is the entire question: The probability that the analyst will indicate a
shortage given that a shortage actually occurs is .90; the probability that the analyst will indicate a surplus given that a surplus actually occurs is .70.
I don't understand how I am to get the solution after the first part. Can you please help me understand.