השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מבחן לֶוִין ובּראון-פוֹרְסַיְית לבחינת שוויון השונוּיוֹת× | מבחן Mann-Whitney U× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה≠ | Regression model | Hypothesis test |
| שנת המקור≠ | 1960 | 1947 |
| הוגה השיטה≠ | Howard Levene; Morton B. Brown and Alan B. Forsythe | H. B. Mann & D. R. Whitney |
| סוג≠ | Homogeneity of variance test (robust) | Nonparametric two-group comparison |
| מקור מכונן≠ | Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗ | Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI ↗ |
| כינויים≠ | Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| קשורות≠ | 5 | 4 |
| תקציר≠ | The Levene and Brown-Forsythe test checks whether two or more groups share the same variance (homogeneity of variance). Levene (1960) built the test on absolute deviations from each group mean, and Brown and Forsythe (1974) made it robust to non-normal data by centring on the group median instead. | The Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed. |
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