Sampling Distribution of the Mean
Next section: Standard error
The
sampling distribution of the mean is a
very important distribution. In later chapters you will see that it is
used to construct
confidence intervals for
the mean and for
significance testing.
Given a
population with a mean of μ
and a standard deviation of σ, the sampling
distribution of the mean has a mean of μ and
a standard deviation of
,
where
n is the
sample size. The standard
deviation of the sampling distribution of the mean is called the
standard
error of the mean. It is designated by the symbol: σ
M .
Note that the
spread of
the sampling distribution of the mean decreases as the sample size
increases.
An example of the effect of sample size is shown above. Notice that the
mean of the distribution is not affected by sample size.
Click
here
for an interactive demonstration of sampling distributions.
Next section: Standard error