Question

In: Math

agree or not? What is a nonparametric test? What is a parametric analysis? Parametric tests assume...

agree or not?

What is a nonparametric test? What is a parametric analysis?

Parametric tests assume underlying statistical distributions in the data. Therefore, several conditions of validity must be met so that the result of a parametric analysis is reliable. The student’s t-test for two independent samples is safe only if each sample follows a normal distribution and if sample variances are homogeneous. Nonparametric tests do not rely on any delivery. They can thus be applied even if parametric conditions of validity are not met. Parametric tests often have nonparametric equivalents. You will find different parametric tests with their equivalents when they exist in this grid. 3.

what is the difference between a nonparametric test and a distribution-free test?

While nonparametric tests don’t assume that your data follow a normal distribution, they do have other assumptions that can be hard to meet. For nonparametric tests that compare groups, a common assumption is that the data for all groups must have the same spread dispersion. If your groups have a different spread, the nonparametric tests might not provide valid results. On the other hand, if you use the 2-sample t-test or One-Way ANOVA, you can simply go to the Options sub dialog and uncheck Assume equal variances. Voilà, you’re good to go even when the groups have different spreads.

Solutions

Expert Solution


Related Solutions

Explain the difference between parametric and nonparametric tests.
Explain the difference between parametric and nonparametric tests.
1. In your own words, what is a nonparametric test? What is a parametric test? 2....
1. In your own words, what is a nonparametric test? What is a parametric test? 2. In your own words, identify an advantage of using rank correlation instead of linear correlation
Read the scenario and pick the most appropriate nonparametric statistical test (assume several assumptions of parametric...
Read the scenario and pick the most appropriate nonparametric statistical test (assume several assumptions of parametric tests were violated). Imagine that marketing researchers working for a food company want to determine whether children would prefer ketchup of a different color. They develop green and blue to compare to their standard red (all taste the same). They have children taste all three colors of ketchups (a correlated-groups design) and rank each on a scale of 1 – 10. Answer: A researcher...
Parametric vs. Nonparametric Methods The purpose of this assignment is to differentiate between parametric and nonparametric...
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...
The article “Understanding Nonparametric Tests“ explains what a nonparametric test is and provides a real-world example:...
The article “Understanding Nonparametric Tests“ explains what a nonparametric test is and provides a real-world example: A nonparametric test is a hypothesis test that does not require the population's distribution to be characterized by certain parameters. For example, many hypothesis tests rely on the assumption that the population follows a normal distribution with parameters μ and σ. Nonparametric tests do not have this assumption, so they are useful when your data are strongly nonnormal and resistant to transformation. However, nonparametric...
Nonparametric tests generally have lower power than parametric tests. Would you interpret the results of a...
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?
Are one way ANOVA, Bartletts test and Levene test parametric or non parametric hipothesis tests and...
Are one way ANOVA, Bartletts test and Levene test parametric or non parametric hipothesis tests and why? I need some explanation on this as i dont quite understand what it means to be a parametric or non parametric test. Thank you?
Describe the conditions in which a nonparametric test would be a better selection than a parametric...
Describe the conditions in which a nonparametric test would be a better selection than a parametric test. Illustrate your ideas with a specific example of when you would use each type of test using similar variables for each example.
What are the : a) advantages of parametric tests b) disadvantages of parametric tests c) advantages...
What are the : a) advantages of parametric tests b) disadvantages of parametric tests c) advantages of nonparametric tests d) disadvantages of nonparametric tests
In your own words, explain why you would use a nonparametric test instead of a parametric...
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.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT