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13 Cards in this Set
- Front
- Back
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parameter
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a number that describes a population
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statistic
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estimates an unknown parameter from a sample
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sampling distribution
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describes the values of the statistic in all possible samples of the same size from a same population
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population distribution
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describes all thethe values of the variable for all individuals in a population
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unbiased estimator
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mean is equal to the true value of the parameter
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biased estimator
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mean of the sampling distribution is unequal to to the true value of the parameter
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sampling variably
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spread of the sampling distribution
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mean of sampling distribution phat
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equal to the population proportion and is an unbiased estimator
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std dev of the sampling distribution of phat
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square root of p(1-P)/N for an srs size of n. can be used if population is 10 times as large as the sample
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conditions for the sampling distribution
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10% condition
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mean of sampling distribution
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ų so that x is an unbiased estimator of mu
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standard deviation of the sampling distribution of x
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is sigma/square root of n
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central limit theorem
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when n is large, the sampling distribution of x bar is approx normal
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