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Point estimator
A statistic that provides an estimate of a population parameter.
Point estimate
The value of a point estimator from a sample.
Confidence interval
Gives a set of plausible values for a parameter based on sample data.
Interval estimate
Another name for Confidence Interval.
Confidence level C
Gives the approximate percentage of confidence intervals that will capture the population parameter in a repeated random sampling with the same sample size.
Conditions for Constructing a Confidence Interval (Fill in the blank.)
Random, 10%, Large Counts
Random
The data come from a random sample from the population of interest.
10%
When sampling without replacement, n < 0.10N.
Large Counts
Both np^ and n(1 – p^) are at least 10.
Margin of error
(of an estimate) Describes how far, at most, we expect the point estimate to vary from the population parameter
Critical value
A multiplier that makes the interval wide enough to have the stated capture rate.
Standard error of p^
An estimate of the standard deviation of the sampling distribution of p^.
z*
Critical Value variable
One-sample z interval for a proportion
A confidence interval used to estimate a population proportion p.
Margin of error (formula)
z*(square root ((p^(1 – p^))/n))
Sample size for desired margin of error
z*(square root ((p^(1 – p^))/n)) where p^ is a guessed value for the sample proportion. The margin of error will always be less than or equal to ME if you use p^ = 0.5.