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Other non-parametric tests, such as the median test and the Kolmogorov-Smirnov test, were used to support the Wilcoxon test.
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The Wilcoxon test supports that the differences between the pre- and post-treatments for muscle strength and walking ability are statistically significant (P 0.001).
The Wilcoxon test for uneven pairs was used.
No other variable was significant in any replication of the Wilcoxon test.
Also, the Wilcoxon test is performed to verify the superiority of ALOA.
The received data was analyzed using scoring rubrics, descriptive statistics, the Wilcoxon test, and content analysis.
For statistical evaluation, the Wilcoxon test and Pearson correlation coefficient were used.
Also, the Wilcoxon test is applied to confirm the effectiveness of the proposed algorithm.
The Wilcoxon test indicates a value of 6.81 (p < 0.02).
Paired data were evaluated by the Wilcoxon test.
Comparisons between quantitative variables were assessed using the Wilcoxon test.
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