Sampling Distribution, Difference between Independent Means (5 of 5)
Next section: Linear combination
of means
The main difference between this problem and simple problems involving the
area under the normal
distribution is that in
this problem you first had to figure out the mean and standard deviation
of the sampling distribution of the difference between two means. In the
simpler problems involving the area under the normal distribution, you were
always given the mean and standard deviation of the distribution. The formula
used there:
is used
here in a different form:
.
Since the problem now concerns differences between means, the relevant statistic
is the difference between means obtained in the sample (experiment), the
relevant population mean (μ) is the mean of the
sampling distribution of the difference between means, and the relevant
standard deviation is the standard deviation of the sampling distribution
of the difference between means.
Next section: Linear combination
of means