 This is only true if A and B are independent. You can never assume A and B are independent. You must either know it or prove it.
This is only true if A and B are independent. You can never assume A and B are independent. You must either know it or prove it.
 This is always true for two events A and B. The left hand side P(A divides B) is the probability that A will happen given that B has happened, often written as A given B or A conditional on B. If A and B are independent then
This is always true for two events A and B. The left hand side P(A divides B) is the probability that A will happen given that B has happened, often written as A given B or A conditional on B. If A and B are independent then so
so
 This is always true.
This is always true.
The above equations are very useful when working with Venn diagrams.
Correlation Coefficients and Regression Lines
 where
where
If the equation of a regression line of on
on is given by
is given by then
then and
and
The unbiased estimate of the standard deviation of a random variable found from a list of n numbers
found from a list of n numbers is given by
is given by where
where
If the expectation value – often called the mean, average, and written or
or – of a random variable
– of a random variable is given by
is given by and
and then
then
 and
and
 and
and for all distributions, but if the distribution is continuous we may use
for all distributions, but if the distribution is continuous we may use and
and
 and
and for a continuous distribution etc.
for a continuous distribution etc.
 for a continuous distribution.
for a continuous distribution.