Using Lists & Spreadsheet 237
The two-way ANOVA analysis of variance examines the effects of two
independent variables and helps to determine if these interact with
respect to the dependent variable. (In other words, if the two
independent variables do interact, their combined effect can be greater
than or less than the impact of either independent variable additively.)
This test is useful in evaluating differences similar to the ANOVA analysis
but with the addition of another potential influence. To continue with
the ANOVA box example, the two-way ANOVA might examine the
influence of box material on the differences seen.
Selecting an Alternative Hypothesis (ă < >)
Most of the inferential stat editors for the hypothesis tests prompt you to
select one of three alternative hypotheses.
• The first is a ƒ alternative hypothesis, such as mƒm0 for the
Z-Test.
• The second is a < alternative hypothesis, such as m1<m2 for the
2-SampTTest.
• The third is a > alternative hypothesis, such as p1>p2 for the
2-PropZTest.
To select an alternative hypothesis, move the cursor to the appropriate
alternative, and then press ·.
Draw Option
Draw determines whether the test results are graphed. If you enable the
check box, the page is split and the test curve and shading are graphed.
Selecting the Pooled Option
Pooled (2-SampTTest and 2-SampTInt only) specifies whether the
variances are to be pooled for the calculation.
• Select
No if you do not want the variances pooled. Population
variances can be unequal.
• Select Yes if you want the variances pooled. Population variances are
assumed to be equal.
To select the Pooled option, select Yes from the drop down box.
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