Exam 4: A: probability and Probability Distributions

A false negative in screening tests is the event that the test is positive for a given condition, given that the person does not have the condition.

A false negative in screening tests (e.g., steroid testing of athletes) represents which of the following events?

Suppose A and B are events where P(A) = 0.4, P(B) = 0.5, and P(A B) = 0.2. Then P(B/A) = 0.4.

The experiment of tossing a single coin once contains one simple event.

What is the term for a table, formula, or graph showing all possible values that a random variable x can assume, together with their associated probabilities p(x)?

The probability distribution of the number of accidents in North York, Ontario, each day is given in the table below: Based on this distribution, what is the approximate value of the standard deviation of the number of accidents per day?

A false positive in screening tests is the event that the test is negative for a given condition, given that the person has the condition.

The sum of the probabilities for all simple events in the sample space equals 1.

An event is a collection of one or more simple events of an experiment.

The time required to assemble a computer could be classified as a discrete random variable.

An experiment is any activity that results in one and only one of several clearly defined possible outcomes, but does not allow us to tell in advance which of these will prevail in any particular instance.

If P(A/B) = P(A B), then A and B are independent events.

The experiment of drawing a single card once from a standard deck contains four events.

Statistics provides ways to reason from the population to the sample, whereas probability acts in reverse, moving from the sample to the population.

All the outcomes contained in one or the other of two events (or possibly in both) constitute the union of two events.

If P(A) = 0.3, P(A B) = 0.7, and P(A B) = 0.2, then P(B) = 0.2.

Conditional probability is the probability that an event will occur, with no other events taken into consideration.

If the mean of the random variable x is larger than the mean of the random variable y, then the variance of x must be larger than the variance of y.

How many ways can one choose a combination of three items out of eight distinct items?

Screening tests (e.g., HIV testing) are evaluated on the probability of a false negative or a false positive. How may one classify these probabilities?