Learn R: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("Harry Potter Data.sav")

T-Test

t.test(formula = FFM_13 ~ CoinFlip,
       data = dataset,
       var.equal = FALSE)

    Welch Two Sample t-test

data:  FFM_13 by CoinFlip
t = 1.4894, df = 57.347, p-value = 0.1419
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
 -0.08325698  0.56691082
sample estimates:
mean in group 1 mean in group 2 
       4.523077        4.281250