Decision trees can be used to model decisions with uncertain outcomes. They show the possible decisions, chance events that may occur, and resulting outcomes. The expected profits or values for each decision are calculated by multiplying the payoffs by their probabilities and working back up the tree. In this example, a computer store considers expanding its current site, moving to a new site, or waiting a year to see if demand grows. Calculating the expected 5-year revenues and costs under each option shows the highest value is to wait and see, and do nothing even if demand is strong.