BAB 8 STATISTIK.R

Fida Ayu Dhiya Nasywa

2026-09-29

data=read.csv(“data berpasangan.csv”)
data

## X Y
## 1 78 100
## 2 75 95
## 3 67 70
## 4 77 90
## 5 70 90
## 6 72 90
## 7 78 89
## 8 74 90
## 9 77 100

t.test(data$Y, data$X, paired=TRUE)

##
## Paired t-test
##
## data: data$Y and data$X
## t = 7.6525, df = 8, p-value = 6.003e-05
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## 11.33381 21.11064
## sample estimates:
## mean difference
## 16.22222

data=read.csv(“data berpasangan.csv”)
data

## X Y
## 1 78 100
## 2 75 95
## 3 67 70
## 4 77 90
## 5 70 90
## 6 72 90
## 7 78 89
## 8 74 90
## 9 77 100

selisih = data$Y - data$X
selisih

## \[1\] 22 20 3 13 20 18 11 16 23

qqnorm(selisih)
qqline(selisih)

library(nortest)
lillie.test(selisih)

##
## Lilliefors (Kolmogorov-Smirnov) normality test
##
## data: selisih
## D = 0.1682, p-value = 0.6544

library(tseries)

## Registered S3 method overwritten by ‘quantmod’:
## method from
## as.zoo.data.frame zoo

jarque.bera.test(selisih)

##
## Jarque Bera Test
##
## data: selisih
## X-squared = 1.3935, df = 2, p-value = 0.4982