library(tidyverse)
## Warning: package 'tidyverse' was built under R version 4.5.3
## Warning: package 'ggplot2' was built under R version 4.5.2
## Warning: package 'tibble' was built under R version 4.5.2
## Warning: package 'tidyr' was built under R version 4.5.3
## Warning: package 'readr' was built under R version 4.5.3
## Warning: package 'purrr' was built under R version 4.5.3
## Warning: package 'dplyr' was built under R version 4.5.2
## Warning: package 'forcats' was built under R version 4.5.3
## Warning: package 'lubridate' was built under R version 4.5.3
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.2.0
## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ ggplot2 4.0.1 ✔ tibble 3.3.0
## ✔ lubridate 1.9.5 ✔ tidyr 1.3.2
## ✔ purrr 1.2.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(lsr)
## Warning: package 'lsr' was built under R version 4.5.2
library(car)
## Warning: package 'car' was built under R version 4.5.3
## Zorunlu paket yükleniyor: carData
## Warning: package 'carData' was built under R version 4.5.3
##
## Attaching package: 'car'
##
## The following object is masked from 'package:dplyr':
##
## recode
##
## The following object is masked from 'package:purrr':
##
## some
set.seed(1923)
deney_grubu<- rnorm(50, mean=45, sd=8)
kontrol_grubu<- rnorm(50,mean=52, sd=8)
fare_verisi<-data.frame(grup=rep(c("Deney","Kontrol"),each=50)) %>%
mutate(süre=round(c(deney_grubu,kontrol_grubu),2))
head(fare_verisi)
## grup süre
## 1 Deney 39.81
## 2 Deney 45.56
## 3 Deney 53.49
## 4 Deney 56.08
## 5 Deney 52.47
## 6 Deney 42.59
tail(fare_verisi)
## grup süre
## 95 Kontrol 46.23
## 96 Kontrol 59.74
## 97 Kontrol 52.52
## 98 Kontrol 50.93
## 99 Kontrol 62.96
## 100 Kontrol 64.11
fare_istatistik<- fare_verisi %>%
group_by(grup) %>%
summarise(N= n(),
Ortalama=mean(süre),
Standart_Sapma= sd(süre))
print(fare_istatistik)
## # A tibble: 2 × 4
## grup N Ortalama Standart_Sapma
## <chr> <int> <dbl> <dbl>
## 1 Deney 50 45.2 8.81
## 2 Kontrol 50 52.4 7.92
fare_verisi %>%
group_by(grup) %>%
summarise(shapiro_p=
shapiro.test(süre)$p.value)
## # A tibble: 2 × 2
## grup shapiro_p
## <chr> <dbl>
## 1 Deney 0.409
## 2 Kontrol 0.810
leveneTest(süre~grup, data=fare_verisi)
## Warning in leveneTest.default(y = y, group = group, ...): group coerced to
## factor.
## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 0.5295 0.4686
## 98
sonuc<-t.test(süre~grup, data=fare_verisi, var.equal=TRUE)
print(sonuc)
##
## Two Sample t-test
##
## data: süre by grup
## t = -4.3425, df = 98, p-value = 3.436e-05
## alternative hypothesis: true difference in means between group Deney and group Kontrol is not equal to 0
## 95 percent confidence interval:
## -10.601619 -3.951181
## sample estimates:
## mean in group Deney mean in group Kontrol
## 45.1614 52.4378
cohensD(süre~grup, data=fare_verisi)
## [1] 0.8685009
Yapılan bağımsız örneklem t-testi sonucunda, ilaç verilen deney grubunun labirent tamamlama sürelerinin(X=45.16, SS=8.81),kontrol grubuna göre (X=52.44, SS=7.92) anlamlı derecede daha düşük (hızlı) olduğu saptanmıştır, t(98)= -4.34, p< .001, d=0.87. Bu bulgu, İlaç-X’in mekansal bellek ve öğrenme üzerinde geliştirici bir etkisi olduğunu desteklemektedir.