Next, the dependent variables were log transformed to conduct a more powerful test (Rasmussen & Dunlap, 1991) and clearly interpret group differences detected from the Mann-Whitney U tests
When the findings of the Mann-Whitney U Test
are reviewed, it is seen that the pupils who study while listening to music have higher levels of fluent writing skills (X=46,89) than those who do not listen to music.
2] p Average 16-17 80 208,34 18-21 82 194,34 22-25 101 170,94 4 5,948 ,203 26-29 55 180,11 30 and over 58 191,41 Table 4: The Results of Mann-Whitney U Test
conducted to determine whether the Risk Identification Level of the Players differs according to the Marital Status Variable.
A Mann-Whitney U test
was conducted after classification, to test whether emergence-hole diameters differed between successful galls (gall-s) and unsuccessful galls (gall-us).
01 Table 2 Mann-Whitney U Test
Applied on Differentiation of Students' Self Concepts According to Gender Mean Sum of Gender School type n rank ranks Male General high school 15 2,567 38,500 Music high school 22 1,445 31,800 Female General high school 17 3,941 67,000 Music high school 46 2,926 134,600 Table 3 Independent Group t-Test Applied on Differentiation of Students' Self Concepts According to the Practicing Hours that They Devote to Their Instruments n Mean sd df t Daily Practicing Hours Below one hour 30 4,541 518 One hour and above 35 4,422 389 63 1,05 * * Not significant
The Mann-Whitney U test
of two independent groups for nonparametric data was applied to analyze the ordinal data.
The Mann-Whitney U test
determines if there is a shift in the center of groups of data in order to examine for differences in the number of students between periods, the number infected by gender, the number of males to females, the mean number of times each gender washes its hands, and the mean number of hand washings among periods.
The basics fort tests, z tests, the nonparametric Mann-Whitney U test
, and then the two sample equivalents are outlined clearly and concisely with a minimum of jargon.
Comparisons between the two groups using a Mann-Whitney U test
show significant differences between normal elderly subjects and stroke patients on all tests at the 1% level of significance.
In order to analyze the obtained data, descriptive statistics, Pearson product moment correlation coefficient and Mann-Whitney U test