Assuming the data meet the assumptions of parametric tests, non-parametric tests, compared to their parametric counterparts ___________
Have less statistical power
All of the above
Are less likely to accept the alternative hypothesis
Are more conservative
A researcher measured leadership skills in police officers, doctors, and accountants. The data were skewed. What is the most appropriate test to analyse the data?
Mann-Whitney test
Kruskal-Wallis test
Friedman test
Wilcoxon test
The results of the test used to analyse the data described in Question 2 showed a significant result. How should the researcher carry out post-hoc tests?
Compare groups using the Mann Whitney test
Compare groups using the Wilcoxon test
Compare groups using a t-test
None of the above. Post-hoc analyses cannot be carried out with non-parametric data
An advantage of non-parametric statistics is that _________
You need a computer to calculate them
They are very powerful
They have many assumptions to meet
They are easy to calculate
Which of the following tests is analogous to a standard within-subjects ANOVA?
Wilcoxon
Kruskal-Wallis
Friedman
Mann-Whitney
Tied scores (when two or more scores have the same value) may present a problem in non-parametric tests. The way to deal with them in a Kruskal-Wallis test is to ____________
Assign any tied values the lower of the ranks they would have received had they not been tied
Use a random number table to assign ranks to the tied values
Throw out the tied data
Assign any tied values the average of the ranks they would have received had they not been tied
A dataset contains the following values: 23, 28, 37, 23, 45, 49, 37, 62. Rank the values. Which rank is associated with value 37?
4.5
6
3.5
4
Researchers wanted to examine whether the ‘see-food’ diet was effective. A group of volunteers were placed on the diet and their weight (in kilograms) was measured at the beginning of the diet, after 1 month, after 2 months, then at the end of the diet after 3 months. The data were not normally distributed. Which test would be appropriate to analyse this data?
n a Kruskal-Wallis test, the _________ the value of H, the more likely you are to reject the null hypothesis
More negative
Smaller
H is not relevant for the Kruskal-Wallis test
Larger
