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