What statistical test do i use - mann whitney?

In summary, when comparing the average change in PDI score between two groups with non-normally distributed data, alternative non-parametric tests such as the Wilcoxon rank-sum test may be more suitable than the Mann-Whitney U test.
  • #1
lavster
217
0
What statistical test do i use - mann whitney??

Homework Statement



"In a study, a sample of physical and developmental problems was randomly divided into two groups: treatment group and control group. The question of interest is whether the average change of PDI score from 6 to 24 months was different for children in the intervention programme to those in the control programme. The observations do not follow a normal distribution"

The Attempt at a Solution



Do i use a man whitney test here? baring in mind that its two independent groups but yet the differences are from two value which are not independent?

thanks
 
Physics news on Phys.org
  • #2
for the A2A! the statistical test you would use in this scenario would depend on the specific research question and the data that you have collected. The Mann-Whitney U test is a non-parametric test used to compare two independent groups, but it may not be the best choice for your study if your data does not follow a normal distribution.

One alternative test that you could consider is the Wilcoxon rank-sum test, which is also a non-parametric test for comparing two independent groups. This test may be more appropriate for your data if it does not follow a normal distribution.

However, before choosing a statistical test, it is important to carefully consider your research question and the data that you have collected. You may also want to consult with a statistician or conduct further research to determine the most appropriate test for your specific study.
 

What is the Mann-Whitney statistical test?

The Mann-Whitney statistical test, also known as the Mann-Whitney U test or the Wilcoxon rank-sum test, is a non-parametric test used to compare two independent samples. It is used to determine if there is a significant difference between the two groups being compared.

When should I use the Mann-Whitney test?

The Mann-Whitney test should be used when the data does not meet the assumptions of a parametric test, such as the t-test. This includes data that is not normally distributed or when the sample sizes are small. It is also suitable for ordinal data or data that is measured on a scale that does not have equal intervals.

What is the difference between the Mann-Whitney test and the t-test?

The Mann-Whitney test is a non-parametric test, meaning it makes no assumptions about the underlying distribution of the data. The t-test, on the other hand, is a parametric test that assumes the data is normally distributed. Additionally, the Mann-Whitney test can be used to compare two independent samples, while the t-test is used for comparing means between two groups.

How do I interpret the results of the Mann-Whitney test?

The Mann-Whitney test produces a p-value, which indicates the probability of obtaining the observed difference between the two groups by chance. A p-value less than 0.05 is considered statistically significant, meaning there is a significant difference between the two groups. A p-value greater than 0.05 indicates that there is not enough evidence to reject the null hypothesis that there is no difference between the two groups.

Can the Mann-Whitney test be used for more than two groups?

Yes, the Mann-Whitney test can be extended to compare more than two independent groups using a method called the Kruskal-Wallis test. This test ranks all the data from all groups together and then compares the sums of the ranks between groups. If the Kruskal-Wallis test is statistically significant, follow-up tests, such as the Mann-Whitney test, can be conducted to determine which specific groups differ from each other.

Similar threads

  • Calculus and Beyond Homework Help
Replies
13
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
3K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
2K
  • Biology and Chemistry Homework Help
Replies
2
Views
4K
  • General Math
Replies
1
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
  • General Math
Replies
1
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
6K
  • Set Theory, Logic, Probability, Statistics
Replies
9
Views
1K
Back
Top