4. Advantage disadvantage
more widely applicable and easier to
interpret than non-parametric tests.
Parametric tests assume that the
variance is equal across groups or
conditions being compared. If this
assumption is not met, the results
may be unreliable.
more sensitive in detecting small
differences within 2 groups, which
makes it better suited for detecting
subtle effects in data.
results can be difficult to interpret
for non-statisticians.
5. A social scientist
wants to compare the
job satisfaction
levels of two groups
of employees: those
who work in an open-
plan office and those
who work individual
offices.
open plan office individual office
job satisfaction
dependent variable:
job satisfaction
6. A psychologist wants to
investigate whether
there is a significant
difference in the IQ
scores of two groups of
children: one group that
received a particular
type of educational
intervention and another
group that did not.
has an educational
intervention
did not received
an educational
intervention
iq scores
7.
8.
9. Advantage disadvantage
more robust to outliers and extreme
values than parametric tests.
generally less powerful than their
parametric counterparts
rely on no or few assumptions about
population parameters
are less flexible than parametric
tests
10. A healthcare researcher
wants to determine if there
is a difference in the
effectiveness of two
different treatments for a
particular medical condition.
However, the data collected
is ordinal and not normally
distributed.
Kruskal-Wallis test or
the Friedman test
11. A researcher is
investigating the
relationship
between two
variables, but the
data does not meet
the assumptions of a
linear regression
model.
linear regression-spearman rank
correlation coefficient
12.
13.
14.
15. Advantage disadvantage
Provide necessary information: The
test gives you all the information you
need to know about the population.
Multiple comparisons are not
possible under the paired data t-
test.
The hypothesis process is easy to
understand and save time.
Since the sample size is small, the
result may not be reliable and
accurate.
