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Chapter 7: Sampling Distributions

Horizontales
___ distribution: the distribution of values taken by the statistic in all possible samples of the same size from the same population
___ distribution: the distribution of all values of a variable in the population
___ of a statistic is described by the spread of the sampling distribution
Greek letter used for a population standard deviation
the normal approximation for the sampling distribution of a sample proportion can be used when both the number of successes and failures and greater than ___
sampling distributions and sampling variability provide the foundation for performing ___
central _______ theorem tells us if the sample size is large, the sampling distribution of the sample mean is approximately Normal, regardless of the shape of the population
Verticales
A statistic is an ___ estimator if the mean of its sampling distribution is equal to the true value of the parameter being estimated
a number, computed from sample data, that estimates a parameter
Greek letter used for the population mean
Standard ___: measure of spread of a sampling distribution
Sampling ___: notes the value of a statistic may be different from sample to sample
a number that describes a population
the rule of thumb for using the central limit theorem- the sample size should be greater than ____
when the sample size is large, the sampling distribution is approximately ____
to draw a conclusion about a population parameter, we look at information from a _________ sample
Center of a sampling distribution