Mann-Whitney U Test Calculator
Perform a Mann-Whitney U test to determine if there is a significant difference between two independent samples.
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About Mann-Whitney U Test Calculator
The Mann-Whitney U Test Calculator performs the Mann-Whitney U test, a nonparametric test used to determine whether there is a significant difference between two independent samples.
What is the Mann-Whitney U Test?
The Mann-Whitney U test (also known as the Wilcoxon rank-sum test) is a nonparametric statistical test that assesses whether two independent samples come from the same distribution. It is used when the data do not meet the assumptions necessary for a t-test, particularly the assumption of normality.
The test statistic \( U \) is calculated based on the ranks of the combined data from both samples.
How to Calculate the Mann-Whitney U Statistic
The Mann-Whitney U statistic is calculated using the following formulas:
\( U_1 = n_1 n_2 + \frac{n_1(n_1 + 1)}{2} - R_1 \)
\( U_2 = n_1 n_2 + \frac{n_2(n_2 + 1)}{2} - R_2 \)
\( U = \min(U_1, U_2) \)
Where:
\( n_1, n_2 \) = Sample sizes of Sample 1 and Sample 2
\( R_1, R_2 \) = Sum of ranks for Sample 1 and Sample 2
\( U \) = Mann-Whitney U statistic
Interpreting the Results
- A small \( U \) value suggests a difference between the samples.
- The p-value indicates the probability of observing the data if the null hypothesis (no difference) is true.
- A p-value ≤ 0.05 typically suggests a significant difference between the samples.
Use Cases of the Mann-Whitney U Test
The Mann-Whitney U test is widely used in various fields:
- Medicine: Comparing the effectiveness of treatments when data are not normally distributed.
- Psychology: Assessing differences in responses between two groups.
- Business: Evaluating customer satisfaction scores between two independent groups.
References:
Mann-Whitney U Test - Wikipedia
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"Mann-Whitney U Test Calculator" at https://MiniWebtool.com/mann-whitney-u-test-calculator/ from MiniWebtool, https://MiniWebtool.com/
by miniwebtool team. Updated: Nov 05, 2024
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