Glossary of Symbols - DRAFT VERSION

cov	covariance, = sxy
e	error term in regression
E( )	expected value, = m
L( )	likelihood function
MLE	maximum likelihood estimate
n	sample size
N	population size
OLS	ordinary least squares
p(x)	probability distribution
p(x,y)	joint probability distribution
P	sample proportion
Pr(E/F)	conditional probability
r	simple correlation
s	standard deviation
s2	variance of sample, or residual variance
SE	standard error
SS	sum of squares(variation)
var	variance, = s2
X	random variable, or regressor in original form
x	realized value of X, or regressor in deviation form
	sample mean
	sample median
Y	response in regression
	fitted value of Y
Z	standard normal variable
	is proportional to
	equals, by definition
	approximately equals
>	greater than
a	probability of type I error, or population regression intercept
b	probability of type II error, or population regression slope
D	population mean difference
q	any population parameter
m	population mean
p	population proportion
r	population correlation
s2	population variance
sXY	population covariance
S	sum of
d	partial derivative
	infinity
P	product
	integral