Fawziyah-Ar-Rafi–bab-7–yg-bener.R

qf(.95, df1=2, df2=15)

## [1] 3.68232

varians=read.csv("varians.csv")
varians

##    Nilai Kelas
## 1     70     1
## 2     80     1
## 3     87     1
## 4     77     1
## 5     80     1
## 6     80     2
## 7     85     2
## 8     70     2
## 9     77     2
## 10    85     2
## 11    60     2
## 12    80     2
## 13    70     3
## 14    87     3
## 15    90     3
## 16    77     3
## 17    76     3
## 18    87     3

library(car)

## Loading required package: carData

leveneTest(varians$Nilai, varians$Kelas)

## Warning in leveneTest.default(varians$Nilai, varians$Kelas): varians$Kelas
## coerced to factor.

## Levene's Test for Homogeneity of Variance (center = median)
##       Df F value Pr(>F)
## group  2  0.4267 0.6604
##       15

library(lawstat)

## 
## Attaching package: 'lawstat'

## The following object is masked from 'package:car':
## 
##     levene.test

data(varians)

## Warning in data(varians): data set 'varians' not found

levene.test(varians[,"Nilai"], varians[,"Kelas"], location="median",correction.method="zero.correction")

## 
##  Modified robust Brown-Forsythe Levene-type test based on the absolute
##  deviations from the median with modified structural zero removal method
##  and correction factor
## 
## data:  varians[, "Nilai"]
## Test Statistic = 0.4372, p-value = 0.6557

levene.test(varians[,"Nilai"], varians[,"Kelas"], location="mean",correction.method="zero.correction")

## 
##  Classical Levene's test based on the absolute deviations from the mean
##  ( zero.correction not applied because the location is not set to median
##  )
## 
## data:  varians[, "Nilai"]
## Test Statistic = 0.64903, p-value = 0.5366