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stat_deskpriptif_1sampel.R
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### Uji Binomial
# PPT Hal. 11 Contoh 1
binom.test(10, 24, 0.5)
# PPT Hal. 17 Contoh 2
binom.test(7, 20, 0.5, "two.sided", 0.95)
# PPT Hal. 23 Contoh 3
binom.test(8, 30, 0.5, "two.sided", 0.95)
# PPT Hal. 29 Latihan 1
binom.test(4, 13, 0.5)
# PPT Hal. 30 Latihan 2
binom.test(5, 20, 0.5, alternative = "less")
binom.test(15, 20, 0.5, alternative = "greater")
# PPT Hal. 31 Latihan 3
binom.test(24, 30, 0.5, alternative = "greater")
binom.test(6, 30, 0.5, alternative = "less")
# PPT Hal. 32 Latihan 4
binom.test(3, 10, 0.5, "two.sided")
# PPT Hal. 33 Latihan 5
binom.test(4, 10, 0.5, "two.sided")
### Uji Chi Square
# PPT Hal. 37 Contoh 1
pengunjung<- matrix(c(64, 76, 60), dimnames=list(c("Lab A", "Lab B", "Lab C"), c("Jumlah")))
pengunjung
chisq.test(pengunjung)
# PPT Hal. 41 Contoh 2
hadiah<- matrix(c(183, 142, 175), dimnames=list(c("T-Shirt", "Anting-anting", "mug"), c("Jumlah")))
hadiah
chisq.test(hadiah)
# PPT Hal. 45 Latihan 6
pil_kepala_desa <- matrix(c(200, 100),
dimnames = list(c("Pria", "Wanita"),
c("Jumlah")))
pil_kepala_desa
chisq.test(pil_kepala_desa)
# PPT Hal. 46 Latihan 7
pilihan_cat <- matrix(c(1000, 900, 600, 500),
dimnames = list(c("Biru", "Merah", "Putih", "Lainnya"),
c("Jumlah")))
pilihan_cat
chisq.test(pilihan_cat)
# PPT Hal. 47 Latihan 8
kemasan <- matrix(c(19, 9, 7, 5),
dimnames = list(c("Kemasan 1", "Kemasan 2", "Kemasan 3", "Kemasan 4"),
c("Frekuensi (hari)")))
kemasan
chisq.test(kemasan)
### Uji Runs
skor<- factor(c("+", "-", "+", "+", "+", "+", "-", "+", "+", "+", "-", "-", "-", "-", "+", "-", "-", "+", "+", "-", "-", "-", "-"))
skor
install.packages("tseries")
library(tseries)
runs.test(skor)
# Latihan modul hal 19 No. 4
list_skor_petani<-list(45, 65, 35, 70, 60, 50, 30, 90, 85, 90, 40, 80, 55, 30, 75)
median_value <- median(unlist(list_skor_petani))
print(median_value)
tanda <- sapply(unlist(list_skor_petani), function(x) {
if (x <= median_value) {
return("-")
} else {
return("+")
}
})
tanda
skor_petani <- factor(c("-", "+", "-", "+", "-", "-", "+", "+", "+", "-", "+", "-", "-", "+"))
print(skor_petani)
library(tseries)
runs.test(skor_petani)
## PPT Hal. 64 Latihan 1
peserta_penyuluhan <- factor(c("P", "P", "W", "W", "P", "W", "P", "W", "P", "W",
"P", "P", "P", "P", "W", "P", "W", "W", "W", "P",
"W", "P", "W", "P", "W", "P", "P", "W", "P", "P",
"W", "P", "P", "P", "P", "W", "P", "W", "P", "P"))
library(tseries)
runs_test <- runs.test(peserta_penyuluhan)
print(runs_test)
## PPT hal 65
skor_adop<-list(45, 65, 35, 70, 50, 30, 90, 85, 90, 40, 80, 55, 30, 75)
median_skor_adopsi<- median(unlist(skor_adop))
print(median_skor_adopsi)
tanda2 <- sapply(unlist(skor_adop), function(x) {
if (x <= median_value) {
return("-")
} else {
return("+")
}
})
tanda2
plus_minus_skor_adopsi<- factor(c("-", "+", "-", "+", "-", "-", "+", "+", "+", "-", "+", "-", "-", "+"))
library(tseries)
runs.test(plus_minus_skor_adopsi)
## PPT Hal. 65 Latihan 2
total_skor <- c(45, 65, 35, 70, 60, 50, 30, 90, 85, 90, 40, 80, 55, 30, 75)
median_skor <- median(total_skor)
# Mengubah total skor menjadi tanda + dan -
# + untuk skor di atas atau sama dg median, - untuk skor di bawah median
adopsi_teknologi <- ifelse(total_skor >= median_skor, "+", "-")
# Mengubah mnjd faktor
adopsi_teknologi_factor <- factor(adopsi_teknologi)
# penggunaan library tseries untuk Uji Runs
library(tseries)
# Melakukan uji runs
runs_test <- runs.test(adopsi_teknologi_factor)
# Menampilkan hasil uji runs
print(runs_test)
## PPT Hal. 66 Latihan 3
# Data nilai ujian siswa
nilai_ujian <- c(65, 45, 49, 74, 80, 90, 64, 57, 68, 54, 76, 72, 64, 52, 90, 94, 58, 60, 58, 69, 79, 83, 66, 62, 82, 84, 52, 41, 62, 76)
# Menghitung median dari data nilai ujian
median_nilai <- median(nilai_ujian)
# Menampilkan median
print(paste("Median nilai ujian adalah:", median_nilai))
# Mengelompokkan nilai berdasarkan median
skor <- factor(ifelse(nilai_ujian > median_nilai, "+", "-"))
print(skor)
library(tseries)
# Melakukan uji runs
hasil_uji_runs <- runs.test(skor)
print(hasil_uji_runs)
## Modul Praktikum Hal. 19 Latihan 4
# Data total skor responden
total_skor <- c(45, 65, 35, 70, 60, 50, 30, 90, 85, 90, 40, 80, 55, 30, 75)
# Menghitung median menggunakan fungsi median()
median_skor <- median(total_skor)
# Menampilkan median
print(paste("Median total skor adalah:", median_skor))
# Menghapus nilai yang sama dengan median
total_skor_filtered <- total_skor[total_skor != median_skor]
# Mengelompokkan skor berdasarkan median
skor <- factor(ifelse(total_skor_filtered > median_skor, "+", "-"))
print(skor)
library(tseries)
# Melakukan uji runs
hasil_uji_runs <- runs.test(skor)
print(hasil_uji_runs)