Chapter 13: Risk and Capital Budgeting
13-27
22. Probability analysis with a normal curve distribution (LO4) When returns from a
project can be assumed to be normally distributed, such as those shown in Figure 13–6 on
page ___ (represented by a symmetrical, bell-shaped curve), the areas under the curve can
be determined from statistical tables based on standard deviations. For example, 68.26
percent of the distribution will fall within one standard deviation of the expected value
(
± 1σ). Similarly 95.44 percent will fall within two standard deviations (
± 2σ), and so
on. An abbreviated table of areas under the normal curve is shown here.
Number of σ’s
from Expected Value
Assume Project A has an expected value of $30,000 and a standard deviation (σ) of $6,000.
a. What is the probability that the outcome will be between $24,000 and $36,000?
b. What is the probability that the outcome will be between $21,000 and $39,000?
c. What is the probability that the outcome will be at least $18,000?
d. What is the probability that the outcome will be less than $41,760?
e. What is the probability that the outcome will be less than $27,000 or greater than
$39,000?
13–22. Solution:
a. expected value = $30,000, σ = $6,000