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20 Cards in this Set
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 Back
sample standard deviation

formula p.119


quartile

a location measure of a data value; it divides the distribution into four groups.


percentile

a location measure of a data value; it divided the distribution into 100 groups.


Zscore

the difference between a a data value and the mean, divided by the standard deviation. p.130


outcome

the result of a single trial of a probability experiment.


sample space

the set of all possible outcomes of a probability experiment.


compound event

an event that consist of two or more outcomes or simple events.


the complement of an event

the set of outcomes in the sample space that are not among the outcomes of the event itself


rules for complementary events

if the probability of an event or the probability of its complement is known, then the other can be found by subtracting the probability from 1. formula p.175


Formula for empirical probablity

formula p.177


mutually exclusive

probability events that cannot occur at the same time.


independent events

events for which the probability of the first ocurring does not affect the probability of the second occuring.


dependent events

events for which the outcomes or occurence of the first event affects the outcome or occurence of the second event in such a way that the probability is changed.


permutation

an arrangement of n objects in a specific order


combination

a selection of distinct objects without regard to order.


tree diagram

a device used to list all possibilities of a sequence of events in a systematic way.


expected value

the theoretical average of a variable that has a probability distribution.


binomial experiment

a probability experiment in which each trial has only two outcomes, there are a fixed number of trials, the outcomes of trials are independent, and the probability of success remains the same for each trial. For example: A situation like a multiple choice question, even though there are four or five answer choices, can be classified as correct or incorrect.


discrete distributions

consist of values a random variable can assume and the corresponding probabilities of the values. The probabilities are determined theoretically or by observation.


law of large numbers

when a probabiliy experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability
