Question

If the assumptions for a parametric one-way ANOVA are not met, an appropriate alternative statistical test...

If the assumptions for a parametric one-way ANOVA are not met, an appropriate alternative statistical test would be which of the following? Provide your rationle below the question.

a. Mann-Whitney U

b. Kruskal-Wallis H

c. Wilcoxon Signed Ranks

d. Friedman's

Rationale:

Homework Answers

Answer #1

The answer is -B. Kruskal-Wallis H.

RATIONALE-

An important assumption when we consider the one-way ANOVA is that the population under consideration is Normally distributed.When,this assumption for a parametric one-way Anova is not met,we should find another non-parametric approach by which we can test our desired hypothesis.

Kruskal-Wallis H is one of them.It is a non-parametric approach to test whether the samples comes from the same population or not.The desired hypothesis is same as ANOVA,implying it is a very good alternative when the required conditions for one-way ANOVE is not met.(ANSWER)

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
6. (1 pt) Match each of the nonparametric tests in Column A with its parametric counterpart...
6. (1 pt) Match each of the nonparametric tests in Column A with its parametric counterpart in Column B Nonparametric Test (column A) vs.    Parametric Test (column B) 1. Mann-Whitney U-test a. Paired t-test 2. Friedman test b. One-way ANOVA 3. Kruskall-Wallis test c. Independent groups t-test 4. Wilcoxon signed-ranks test d. Repeated measures ANOVA
what are the assumptions and data needed for following... Mann Whitney kolmogrov smirnnov two way anova...
what are the assumptions and data needed for following... Mann Whitney kolmogrov smirnnov two way anova kruskal wallis test Only correct answer otherwise i will dislike
Discuss when it is appropriate to use the one-way ANOVA and the Kruskal-Wallis      test.
Discuss when it is appropriate to use the one-way ANOVA and the Kruskal-Wallis      test.
When talking about non-parametric testing. What is the best way to compare the following 3 test...
When talking about non-parametric testing. What is the best way to compare the following 3 test and how would I select one to use? 1. Wilcoxon signed ranks method 2. Man-Whitney ranks sums method 3. Chi squared test Here are the two hypothesis where I have to use one of the test one: 1. People with higher educational attainment smoke less. 2.  People who smoke have lower total cholesterol compared to those who don’t smoke.
Which test among Kruskal - Wallis test and One way ANOVA would you use in the...
Which test among Kruskal - Wallis test and One way ANOVA would you use in the real world population studies and why?
Parametric statistical procedures are based on a number of "statistical assumptions" that need to be met...
Parametric statistical procedures are based on a number of "statistical assumptions" that need to be met in order for the conclusions drawn to be valid. One of these statistical assumptions is that the distribution of the population data from which the sample is drawn meets the definition of a “normal distribution”. A first step in data analysis is to first check to see if there is evidence that the statistical assumptions have been met. This involves the researcher reviewing the...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all. Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT