Information Systems &Analytics $3202-4$:CORE: Analytical Decision Making

How do you input numbers into a decision tree?

How do you draw a decision tree?

How do you calculate the EMV?

What is the EMV?

What are risk profiles?

What is EMV $=0=$ Break even?

What does it mean to use $$sample information$$ in decision$-$making?

What is EVSI?

What is multicriteria decision$-$making?

What are descriptive models?

What are prescriptive models?

What are predictive models?

What is the feasible region?

What are unbounded models?

What are alternate models?

When would you use data envelop analysis?

When do you have an alternate solution in sensitivity analysis?

When would you have a degenerate solution in a sensitivity analysis?

What are linking constraints?

What is a fixed charge?

What is the sum cost?

What is the sunken charge?

What is the binding constraint?

What is Slack?

What is the shadow price?

What is reduced cost?

How do you set up a matrix?

How do you decide a decision alternatives? Buy A or Buy B$?$

What is Maximax?

What is Maximin?

What are nonproblems?

What is ENV?

What is EDL?

What is EOL? What is ENV and what is the correlation?

What is the expected value of perfect information?

When creating a decision tree using Excel Solver, what do a square, node, and triangle mean?

Decision tree: What is the expected value of the sample?