Rah pt3 Flashcards
which gives us methods to
calculate the likelihood of events that have a finite number of outcomes.
Discrete probability
The set of all possible outcomes of an experiment is called a
sample space or probability space
Each outcome
in a sample space is called a
sample point or, simply, a point
subset of a sample space is called an
event.
First, if A and B are disjoint sets (also called
mutually exclusive
events
give information regarding whether an event will happen in the future based on
past experience.
priori probability
whether an event has happened based on new information
posteriori
probability
the chances that some outcome (A) occurs given that another event (B) has already occurred
Conditional probability
converts the results from your test into the real probability of the event
Bayes theorem
means two events, A and B, are independent given a third event
conditional independence
stochastic model that uses mathematics to predict the probability of a sequence of events occurring based on the most recent event
Markov chain
stochastic model that uses mathematics to predict the probability of a sequence of events occurring based on the most recent event
Variance
a measure of how dispersed the data is in relation to the mean
standard deviation
says that for large amounts of data, approximately 68 percent of the data lies within one standard
deviation of the mean, 95 percent lies within two standard deviations of the mean, and 99.7 percent lies within
three standard deviations of the mean.
empirical rule
of a set of numbers is the difference between the largest and
smallest.
range
