AP Statistics - Chapter 7 Vocabulary

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Terms in this set (...)

parameter
a number that describes some characteristic of the population
statistic
a number that describes some characteristic of a sample
sampling variability
the value of a statistic varies in repeated random sampling
sampling distribution
describes the values the statistic in all possible samples of the same size from the same population
distribution of sample data
gives the values of the variable for all individuals in a particular sample
unbiased estimator
a statistic used to estimate a parameter if the mean of its sampling distribution is equal to the true value of the parameter being estimated
biased estimator
if the center (mean) of its sampling distribution is not equal to the true value of the population
variability of a statistic
the spread of its sampling distribution. Determined by size of random sample: larger sample - smaller spread, size irrelevant when population 10+ times larger than sample
sampling distribution of p̂
Describes how the sample proportion varies in all possible samples from the population
mean of a sampling distribution of p̂
μ is equal to the population proportion of p. That is, p̂ is an unbiased estimator of p
standard deviation of a sampling distribution of p̂
as long as 10% condition is satisfied
Large Counts condition
Satisfied by making sure np is greater than or equal to 10 and n(1-p) is greater than or equal to 10.
mean of sampling distribution
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