The Arithmetic of Operations on Statistics and Random Variables
 
The
Arithmetic of Operations on Statistics and Random Variables
When it comes to arithmetic, random variables are not much
different than deterministic variables. We can add, subtract, multiply, and
divide random variables. For instance, we can define a random variable Z = X + Y, or W = X2. We can transform a random variable into a
deterministic variable by calculating its expected value. However, many
functional and logical operations on random variables depend on whether or not
the variables are mutually exclusive or independent. As examples, the functional
operation of expected value does not depend on independence, but the functional
operation of variance does.
Similarly, there are operations on statistics that both inherit
their properties from deterministic variables and acquire certain properties
from the nature of randomness. For instance, the variance of a sum is the sum of
variances if the random variables are independent, but the standard deviation of
the sum is not the sum of the standard deviations.
Table 2-4 provides a
summary of the most important operations for project managers.
Table 2-4: Operations on Random Variables and
Statistics
|
Item |
All Arithmetic Operations |
All Functional Operations
with Random Variables as Arguments
|
Limiting Conditions |
|
Random variables |
Yes |
Yes |
|
|
Probability density functions |
Yes |
Yes |
|
|
Cumulative probability density functions |
Yes |
Yes |
If a random variable is dependent upon another, the
functional expression is usually affected. |
|
Expected value, or mean, or sample average, or arithmetic
average |
Yes |
Yes |
|
|
Variance |
Yes |
Yes |
If the random variables are not independent, then a
covariance must be computed. |
|
Standard deviation |
Cannot add or subtract |
Yes |
To add or subtract standard deviations, first compute the
sum of the variances and then take the square root. |
|
Median |
No |
No |
Median is calculated on the population or sample population
of the combined random variables. |
|
Mode or most likely |
No |
No |
Most likely is taken from the population statistics of the
combined random variables. |
|
Optimistic and pessimistic random variables |
Yes |
Yes |
None |
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