________ Sampling Distribution- the distribution of all values taken by a statistic in all possible samples of the same size from the same population A statistic is called an unbiased estimator of a parameter if the mean of its sampling distribution is equal to the parameter being estimated Important Concepts for unbiased estimators The mean of a sampling distribution will always equal the mean of the population for any sample size The spread of a sampling distribution is affected by the sample size, not the population size.
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standard deviation
If an SRS is drawn from any population with mean and ________ , when n is large (n 30), the sampling distribution of the sample mean x will have the normal distribution.
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normal distribution
If an SRS is drawn from a population that has the ________ with mean and standard deviation , then the sample mean will have the ________ for any sample size.
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Parameter
________- A parameter is a number that describes some characteristic of the population Statistic- A statistic is a number that describes some characteristic of a sample.
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Sampling Distribution
the distribution of all values taken by a statistic in all possible samples of the same size from the same population A statistic is called an unbiased estimator of a parameter if the mean of its sampling distribution is equal to the parameter being estimated Important Concepts for unbiased estimators The mean of a sampling distribution will always equal the mean of the population for any sample size The spread of a sampling distribution is affected by the sample size, not the population size
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7.2
Sample Proportions Choose an SRS of size n from a large population with population proportion p having some characteristic of interest
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7.3
Sample Means Suppose that x is the mean of a sample from a large population with mean and standard deviation
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