Introduction to a variety of useful statistical ideas and techniques - Improving the User Experience through Practical Data Analytics - page 36

Now we pull down the “Analyze” menu item (see arrow in Figure 1.20 ) and go
“compare means” and then to One-Sample T-test; see Figure 1.21 and its arrows:
On the resulting dialog box, drag over VAR00001 to become the Test Variable
(see vertical arrow in Figure 1.22 ) and change “Test Value” from 0 to 4.10, the value
stated in H0. See horizontal arrow in Figure 1.22 .
This gives us Figure 1.23 , which is now ready for a click of “OK” (see arrow).
After you, indeed, click “OK,” we get the output in Figure 1.24 .
We might irst note that the sample average is 4.50 (see horizontal arrow in
Figure 1.24 ).
SIDEBAR: p -VALUE = “SIGNIFICANCE” IN SPSS
SPSS does not call the p -value, “ p -value.” For whatever reason, even though the p -value is the name
of a topic in probably 99.99% of introductory statistics textbooks (indeed, using the exact phrase,
“ p -value”), SPSS chooses to use the term “Signiicance,” which is virtually always abbreviated to
“Sig.” due to space considerations. See the vertical arrow in Figure 1.24 . We wonder if the good
folks at SPSS conducted any usability testing with target users.
FIGURE 1.21
Implementing One-Sample T-test.