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20 Cards in this Set

  • Front
  • 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.
Z-score
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