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AP Statistics Chapter 7 - Sampling Distributions
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Terms in this set (19)
parameter
a number that describes some characteristics of the population
statistic
a number that describes some characteristic of a sample
sampling variability
value of a statistic varies in repeated random sampling
sampling distribution
the distribution of values taken by the statistic in all possible samples of the same size from the same population
unbiased estimator
the mean of its sampling distribution is equal to the true value of the parameter being estimated
variability of a statistic
the spread of its sampling distribution. Larger samples have less variability.
sample proportion
X/n
Mean of sampling distribution of p-hat
p
the standard deviation of sampling distribution of p-hat
10% Condition must be met
the standard deviation of sampling distribution of x bar
10% Condition must be met
the mean of sampling distribution of x bar
the mean and standard deviation of sample mean and proportion
same no matter what shape the population distribution has
Central Limit Theorem (CLT)
In SRS of every size n from any population with mean and finite standard deviation, when n is large, the sampling distribution of the sample mean is approximately Normal
population distribution
gives values of the variable for all the individuals in the population
distribution of sample data
gives the values of the variable for all the individuals in the sample
sample mean
normal approximation for sample proportion
pn>10
(1-p)n>10
Large Counts Condition must be satisfied
Large Counts Condition
10% Condition
n must be greater than or equal to 1/10 of N
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