Chapter 11: Confidence Intervals – Large Samples
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11-5 Large Sample Confidence Interval for the Difference
Between Two Population Means
In this section, we will consider estimating the difference between two
population means.
Figure 11-18
shows the design of the situation at hand.
We will be sampling from two populations with unknown means. We will let
these population means respectively be denoted by
and
. We will
assume that the standard deviations for the respective populations are
and
. We will also assume that these standard deviations are known and that
the populations are normally distributed. In addition, if the normality
assumption cannot be made, the sample sizes will be assumed to be large
enough such that the
Central Limit Theorem
for the difference between the
sample means will hold. Samples of size
and
will be obtained and the
sample means will be computed.
Figure 11-18:
Display of the experimental situation in
selecting samples to estimate the
difference between two population means
The point estimate for the population means can be computed from
̅
∑
and
̅
∑
and we will consider
̅
̅
as the point estimate for
, the difference between the two population means. That is,




