Different techniques for analyzing project risk require different input variables and assumptions.

Suppose you are using the sensitivity analysis technique to evaluate project risk. You would change One input variable at a time / several variables together in the model to evaluate the effect of the input factors on the expected value.

Anusha is a risk analyst. She is conducting a sensitivity analysis to evaluate the riskiness of a new project that her company is considering investing in. Her risk analysis report includes the sensitivity curve shown on the graph.

This curve implies that the project is very sensitive to changes in the price of the product. The projects NPV is likely to become negative if the price for which the product can be sold decreases by 12 or 8% .

Along with the sensitivity analysis, Anusha is including a scenario analysis for the project in her report, giving the probability of the project generating a negative NPV. Her report includes the following information about the scenario analysis:

	Data Collected
Outcome	NPVj	Probability (Pj)
Pessimistic	$5.62 million	0.35
Most likely	$7.94 million	0.30
Optimistic	$16.45 million	0.35

Complete the missing information in Anushas report:

The expected net present value of the project is .______

Standard deviation of the net present value (the NPV of the project is likely to vary by) ______ million.