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Every subset of population has equal likelihood of being selected |
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The relative frequency of an event is the proportion of the times the event occurred in a series of trials of a random experiment |
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Any function of the sample data |
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Any function of the population data |
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A statistic used to estimate population parameter |
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One that is equal to the population parameter |
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Set of all objects of interest |
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Any subset of the population, you want it to be representative of the population |
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Variance, range, standard deviation |
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Measures of Relative Standing |
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Standard scores, percentiles |
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Infer something about the population |
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Random process that results in one of several outcomes |
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Set of all possible outcomes of a probability experiment |
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Any subset of the sample space |
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Every outcome not in the event |
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The probability of one event does not affect the other |
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Probability of B given that A has occured |
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For a sample space, a description of the set of possible outcomes along with a method to determine probabilities. |
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A function that assigns a real number to each outcome in the sample space of a random experiment |
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Sequence of independent trials that have exactly two outcomes and the probability of success remains constant |
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A discreet random variable that equals the number of successes in a fixed number of Bernoulli trials |
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A discreet random variable that is the number of Bernoulli trials until a success occurs |
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A discreet random variable that is the number of trials until a specified number of successes occur in Bernoulli trials |
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A discreet random variable that is the number of successes obtained from a sample drawn without replacement from a finite population |
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A random experiment with events that occur in an interval to satisfy the following assumptions. The interval can be partitioned into subintervals such that the probability of more than one event in a subinterval is zero, the probability of an event in a subinterval is proportional to the length of the subinterval, and the event in each subinterval is independent of other subintervals. |
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A discreet random variable that is the number of events that occur in a Poisson process |
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Refers to either a discrete or continuous uniform random variable |
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A continuous random variable that is the most important one in statistics because it results from the central limit theorem |
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The sum of n independently distributed random variables will tend to be normally distributed as n becomes large |
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A random variable that generalizes an Erlang random variable to noninteger values of the parameter r |
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A continuous random variable that is the sum of a fixed number of independent, exponential random variables |
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sample standard deviation |
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Probability of Type 1 error |
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Probability of type 2 error |
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Population standard deviation |
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