SPSS T-test
1. One-Sample T Test
The objective of the test is to test the difference between a sample mean and a known
or hypothesized value.
To demonstrate the one-sample t-test, we will use the test to
determine whether or not the mean probability of buying the Woolworth dog biscuit
in each of the male and female sample significantly differs from 5.
You will recall
that purchase intention was measured by a scale from 0 to 10, ‘0’ being certainly no;
and ‘10’ being certainly yes. Hence, a probability of 5 means a state of complete
undecidedness or indeterminacy on the part of the respondent. If our t-test shows
that the mean buying probability is significantly greater than 5, we have more
confidence that a market for Woolworth dog biscuit might exist.
Because we want to look at each gender separately, the file must first be split into
groups by Gender.
To split the file, from the Data Editor menus choose:
Data
Split File...
Select Compare groups, then select Gender, and click OK as shown in the diagram
below:
To begin the one-sample t test, from the menus choose:

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Analyze
Compare Means
One-Sample T Test...
Select likelihood of buying as the test variable.
Type 5 as the test value.
Click OK to get the results:
T-Test
The one-sample T-test tests if the population mean of a group is significantly different
from a specific value. In the One-Sample Test table above, the Test Value is 5, and
two groups were tested: female and male.
The hypotheses are as follows:
H1:
μ
female
= 5 (μ
female
stands for the unknown mean buying probability of the
population of female consumers)