AP Stats - Chapter 7 - Sampling Distributions

the rule of thumb for using the central limit theorem - the sample size should be greater than _______

thirty

a statistic is an ________ estimator if the mean of the sampling distribution is equal to the true value of the parameter being estimated

unbiased

sampling ____________ notes the value of a statistic may be different from sample to sample

variability

when the sample size is large , the sampling distribution of a sample proportion is approximately ______

Normal

standard __________: measure of spread of a sampling distribution

deviation

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

limit

center of a sampling distribution

mean

Greek letter used for the population mean

mu

a number that describes a population

parameter

__________ distribution: the distribution of all values of a variable in the population

population

to draw a conclusion about a population paramter, we can look at information from a ______ sample

random

_________ distribution: the distribution of values taken by the statistic in all possible samples of the same size from the population

sampling

Greek letter used for the population standard deviation

sigma

a number, computed from sample data, that estimates a parameter

statistic

the Normal approximation for the sampling distribution of a sample proportion can be used when both the number of successes and failures are greater than ___

ten