A ________ describes a characteristic of a population, while a ________ describes a characteristic of a sample
parameter, statistic
The ________ is the distribution of values taken by a statistic in all possible samples of the same size from the same population.
sampling distribution
A statistic is a(n) ________ of a parameter if the mean of its sampling distribution is equal to the true value of the parameter.
unbiased estimator
The ________ (p̂) is calculated as (number of successes in the sample) / (total sample size).
sample proportion
The mean of the sampling distribution of p̂ (μp̂) is equal to ________.
population proportion (p)
σp̂ = √(( _______ )/n
p(1-p)
The sampling distribution of p̂ is approximately Normal if np ≥ ____ and n(1-p) ≥ ____.
10
The ________ (σp̂) measures the typical distance of sample proportions from the mean of the sampling distribution.
standard deviation
The goal of examining a sampling distribution is to understand the ________ of the statistic and to determine whether it is an ________ of the parameter of interest.
variability, unbiased estimator
Be careful to use the correct words and symbols to distinguish between ________ and ________ .
populations, samples