1. Sampling error would indicate
that the standard error provides
an evaluating of the likely error
associated with a particular
estimate.
2. This interval is called an interval
estimate [or confidence interval]
where the interval is centred at the
point estimate for the population
mean.
3. From our knowledge of the normal
distributions we know that 95% of
the distribution lies within + - 1.96
standard deviations of the mean.
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