T-Test

Load Packages

Haven

if (!require(haven)){
  install.packages("haven", dependencies = TRUE)
  library(haven)
}

Tidyverse

if (!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  library(tidyverse)
}

Import Data

dataset <- read_sav("https://osf.io/kd4ej/download")

T-Test

t.test(formula = FFM_32 ~ CoinFlip,
       data = dataset,
       var.equal = FALSE)

    Welch Two Sample t-test

data:  FFM_32 by CoinFlip
t = 0.71326, df = 60.502, p-value = 0.4784
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
 -0.2386470  0.5032303
sample estimates:
mean in group 1 mean in group 2 
       4.265625        4.133333