## Notes Information

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NOTES: Sampling Distributions
n
= sample size
x = sample mean = average of a quantitative variable describing a SAMPLE
µ = population mean = average of a quantitative variable describing the POPULATION
p^ = proportion of the SAMPLE with trait
n traithave which SAMPLE in the sindividual ofnumber =
p = proportion of the POPULATION with trait
sizepopulation traithave which POPULATION in the sindividual ofnumber =
Statistic: a number which describes a sample.
Examples: x , xS , p^ , n
Parameter: a number which describes a population.
Examples: µ , ? , p
Sampling Distribution: The sampling distribution of a statistic is the distribution of values taken by the
statistic in all possible samples of the same size from the same population.
Unbiased Estimator: A statistic used to estimate a parameter is unbiased if the mean of its sampling
distribution is equal to the true value of the parameter being estimated.
Example: ( ) ...

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