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Press the STAT key.
Press the ► key twice to highlight TESTS.
Press the number 9 key.
Move the cursor over Stats and press the ENTER key.
Type in 9000 for σ1
.
Type in 8500 for σ2.
Type in 49056 for Ë1.
Type in 500 for n1.
Type in 46800 for Ë2.
Type in 400 for n2.
Type in .95 for the C-Level.
Move the cursor over Calculate and press the ENTER key.
The 2-SampZInt output shows the:
confidence interval: (1108.8, 3403.2)
sample means and sample sizes.
The 95% confidence interval for µ1 − µ2 is ($1108.8, $3403.2).
Hypothesis Testing: µ1 = µ2
If you are fortunate enough to have information about the population standard deviations, you
can use 2-SampZTest to test whether or not µ1 = µ2 for two population means.
The more general approach to performing a hypothesis test on two population means is to
perform a T-based test, which does not make any assumptions about the population’s standard
deviations. This is provided on the calculator by the function 2-SampTTest. Both of these
functions are located on the STAT page in the TESTS list.
If you have the actual data stored in lists select Data and enter the names of the lists. If instead
you have the summary statistics, select Stats. If you have reason to believe that the population
standard deviations are the same, select Yes by the prompt Pooled.
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