Learn R: t-tests

library(haven)

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library(tidyverse)

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Harry_Potter_Data <- read_sav("C:/Users/dell/Downloads/Harry Potter Data.sav")
View(Harry_Potter_Data)
t.test(formula = FFM_5 ~ CoinFlip,
       data = Harry_Potter_Data,
       var.equal = FALSE)

## 
##  Welch Two Sample t-test
## 
## data:  FFM_5 by CoinFlip
## t = 0.35438, df = 64.005, p-value = 0.7242
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
##  -0.2692608  0.3853898
## sample estimates:
## mean in group 1 mean in group 2 
##        3.800000        3.741935

t.test(formula = FFM_1 ~ CoinFlip,
       data = Harry_Potter_Data,
       var.equal = FALSE)

## 
##  Welch Two Sample t-test
## 
## data:  FFM_1 by CoinFlip
## t = -2.419, df = 76.753, p-value = 0.01793
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
##  -1.0412385 -0.1009527
## sample estimates:
## mean in group 1 mean in group 2 
##        3.307692        3.878788