Exam 4: Probability

Events that have no sample space outcomes in common,and therefore cannot occur simultaneously,are referred to as independent events.

There are two types of probability distributions: discrete and binomial.

The __________ of event X consists of all sample space outcomes that do not correspond to the occurrence of event X.

When the probability of one event is influenced by whether or not another event occurs,the events are said to be _____________.

If events A and B are independent,then the probability of simultaneous occurrence of event A and event B can be found with ____________.

The probability of an event is the sum of the probabilities of the sample space outcomes that correspond to the event.

If events A and B are mutually exclusive,then P(A|B)is always equal to zero.

What is the probability of rolling a seven with a pair of fair dice?

Probabilities must be assigned to sample space outcomes so that the probability assigned to each sample space outcome must be between ____________,inclusive.

If events A and B are independent,then P(A|B)is always equal to zero.

Bayes' Theorem uses prior probabilities with additional information to compute posterior probabilities.

An event is a collection of sample space outcomes.

A(n)______________ is a collection of sample space outcomes.

A ___________________ is a measure of the chance that an uncertain event will occur.

A(n)_______________ probability is a probability assessment that is based on experience,intuitive judgment,or expertise.

P(A υ B)= P(A)+ P(B)− P(A∩B)represents the formula for the ____________.

A contingency table is a tabular summary of probabilities concerning two sets of complementary events.

A probability model is a mathematic representation of a random phenomenon.

The _____________ of an event is a number that measures the likelihood that an event will occur when an experiment is carried out.

A process of observation that has an uncertain outcome is referred to as a(n)_____________.