WebWe used nonparametric statistical tests to compare the results of our USIG and MSIG questionnaires. Continuous and ordinal variables were analyzed using the Mann–Whitney U and Kruskal–Wallis H-tests. To analyze categorical data, we used a chi-square test while correlations between variables were measured using a Spearman’s rho. WebComparison between the three groups was made using the Kruskal–Wallis test (non-parametric ANOVA). Survival analysis was conducted using the Kaplan–Meier equation, and the Log rank test was used to compare two survival curves. All tests were two-tailed. A p-value < 0.05 was considered significant. Results Patients’ Characteristics
Kruskal-Wallis test - IBM
Webpresented and investigated statistically. Independent t-test, one-way analysis of variance, and nonparametric Kruskal-Wallis packages on SPSS were used to analyse the extracted data from questionnaires. Students in the Department of Mathematical Sciences FUTA with a high level of likeness in mathematics WebClick Stat → Nonparametrics → Kruskal–Wallis. A new window named “Kruskal–Wallis” pops up. Select “Overall Satisfaction” as the “Response.” Select “Customer Type” as the “Factor.” Click “OK.” The Kruskal–Wallis test results appear in the session window. open university law study home
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