Learn R: T-tests

Loading Packages

Haven

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

Loading required package: haven

Tidyverse

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

Loading required package: tidyverse

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── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Import data

dataset.spss <- read_sav ("Harry Potter Data (3).sav")

T-Test

t.test(formula = FFM_10 ~ CoinFlip,
       data = dataset.spss,
       var.equal = FALSE)

    Welch Two Sample t-test

data:  FFM_10 by CoinFlip
t = 1.9014, df = 48.529, p-value = 0.0632
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
 -0.02294944  0.82583406
sample estimates:
mean in group 1 mean in group 2 
       4.307692        3.906250