Explain the differences and
similarities between parametric and non-parametric inferential
statistics. When (under what circumstances) would a parametric
statistic be your preferred statistic? When would a non-parametric
statistic be your preferred statistic?
When should you use non-parametric tests of statistical
significance? When is it inappropriate to use non-parametric
statistical tests? Describe what is meant by the phrase: "Power of
a a statistical test". Are non-parametric statistical procedures as
powerful as parametric statistical procedures?
(a) differentiate between parametric and non
parametric statistics and give one example for each test.
(b)outline and discuss the steps which guide a researcher in
designing a questionnaire. (c) briefly discuss the merit and
demerit of a questionnaire as a research tool.
What are the key differences between parametric and
non-parametric tests? Provide one example of a parametric test and
one example of a non-parametric test.
Given the non-parametric test, match the non-parametric test
with its parametric counterpart.
Sign test
Wilcoxon rank sum test
Wilcoxon signed-rank test
This exercise focuses on the difference between Parametric and
Nonparametric statistics.
1. Define parametric statistics.
2. Define nonparametric statistics.
3. What is referred to by the term “scale of measurement”?
4. What are the four common scales of measurement?
5. Which scale(s) of measurement are associated with parametric
statistics?
6. Which scale(s) of measurement are associated with nonparametric
statistics?
7. Identify the scale that would be associated with each of the
following measurements.
a. Gender
b. Percentiles on a standardized...