Quiz #1 Review (September 5) Flashcards
cross-sectional
data from across different entities form a single period of time
time series
data on one thing across different time periods
panel data
combination of both cross-sectional and time-series
discrete random variable
can only take on a limited number of values
continuous random variable
can take on a continuim of possible values
-depends on how many decial places you’re willing to work with
probability distribution
list of all the possible values (outcomes) a random variable can take on and the probability that it occurs
expected value
weighted average of all possible outcomes for this variable where the weights are the probabilities of each outcome
joint probability distribution
the probability that the random variables simultaneously take on certain values
ex: rolling a die and flipping a coin
conditional probability distribution
given that one is happening, what’s the probabilty distribution of the other?
given x, what is the prob of y?
if the conditional distribution is NOT different than the marginal distribution, then what do we know about the 2 variables?
the 2 variables are independent
if the conditional distribution IS different than the marginal distribution, then what do we know about the 2 variables?
the 2 variables are NOT independent
covariance
do the 2 random variables move together or change together?