bab-8.R

# ==========================================================
# BAB 8 - UJI T BERPASANGAN
# ==========================================================

# Membaca data
data=read.csv("C:/Users/ASUS/OneDrive/Documents/New folder/semester 3/statistika/data_berpasangan.csv", sep = ";")
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

# Menghitung selisih
selisih <- data$Y - data$X

# Menampilkan selisih
selisih

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

# UJI NORMALITAS DENGAN Q-Q PLOT
qqnorm(selisih)
qqline(selisih)

# UJI NORMALITAS DENGAN LILLIEFORS
library(nortest)
lillie.test(selisih)

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

# UJI NORMALITAS DENGAN JARQUE-BERA
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