Parametric vs. Nonparametric Methods
The purpose of this assignment is to differentiate between
parametric and nonparametric statistical methods. In addition, this
assignment will help you understand and implement parametric or
nonparametric statistical methods.
Research the following statistical topics:
Levels of measurement
Parametric and nonparametric methods
On the basis of your research and understanding, respond to the
following:
Find and state the definition of levels of measurement that
distinguishes the five types of data used in statistical
analysis.
In your own...
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...
Nonparametric tests generally have lower power than parametric
tests. Would you interpret the results of a nonparametric test any
differently than the results of a parametric test?
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.
What are the :
a) advantages of parametric tests
b) disadvantages of parametric tests
c) advantages of nonparametric tests
d) disadvantages of nonparametric tests
Explain how the chi-square tests differ from parametric tests
(such as t tests or ANOVA) with respect to the hypotheses, the
data, and the assumptions underlying the test.
In your own words, explain why you would use a nonparametric
test instead of a parametric test. How are they different? How are
they the same?
Come up with a research study example for each of the different
kinds of Chi square tests: no difference, goodness of fit, and test
of independence.