• Tidak ada hasil yang ditemukan

Normality Test and Mann-Whitney Test for Salary Data

N/A
N/A
Zaenal Fanani

Academic year: 2024

Membagikan " Normality Test and Mann-Whitney Test for Salary Data"

Copied!
2
0
0

Teks penuh

(1)

Name: Atya Faza Azizah  NIM: 143231004 

Mann Whitney Test 

Normality test 

Tests of Normality

MINORITY

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

SALARY not minority .195 370 .000 .802 370 .000

minority .244 104 .000 .634 104 .000

a. Lilliefors Significance Correction

The significance value of not minority and minority datas are less than 0.05. So, the data distribution is not normal. That;s why, we need to do a Mann whitney test

Mann whitney test

Mann whitney test criteria:

 If significant is less than 0.05, that means there is a significant change in the data

 If significant is more than 0.05, that means there is no significant change in the data

Ranks

MINORITY N Mean Rank Sum of Ranks

SALARY not minority 370 250.47 92672.50

minority 104 191.37 19902.50

Total 474

Test Statistics

a

SALARY Mann-Whitney U 14442.500

Wilcoxon W 19902.500

Z -3.887

Asymp. Sig. (2-tailed) .000 a. Grouping Variable: MINORITY

(2)

As we can see from this table, there is a significant change in the data because the significant value is less than 0.05

 

 

Referensi

Dokumen terkait