# A tibble: 32 x 4
jk pelatihan nilai nama
<chr> <chr> <dbl> <chr>
1 perempuan sebelum 60 ayu
2 perempuan sesudah 90 ayu
3 perempuan sebelum 33 dyonita
4 perempuan sesudah 100 dyonita
5 perempuan sebelum 40 zahra
6 perempuan sesudah 100 zahra
7 perempuan sebelum 46.2 indana
8 perempuan sesudah 70 indana
9 perempuan sebelum 33 najwa
10 perempuan sesudah 80 najwa
# i 22 more rows jk pelatihan nilai nama
Length:32 Length:32 Min. : 33.00 Length:32
Class :character Class :character 1st Qu.: 46.20 Class :character
Mode :character Mode :character Median : 65.00 Mode :character
Mean : 66.32
3rd Qu.: 90.00
Max. :100.00 Df Sum Sq Mean Sq F value Pr(>F)
as.factor(pelatihan) 1 14357 14357 156.366 5.6e-13 ***
as.factor(jk) 1 25 25 0.270 0.608
as.factor(pelatihan):as.factor(jk) 1 74 74 0.811 0.376
Residuals 28 2571 92
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Shapiro-Wilk normality test
data: model$residuals
W = 0.97166, p-value = 0.5465
Bartlett test of homogeneity of variances
data: nilai by pelatihan
Bartlett's K-squared = 0.22349, df = 1, p-value = 0.6364
Bartlett test of homogeneity of variances
data: nilai by jk
Bartlett's K-squared = 0.3985, df = 1, p-value = 0.5279