A4Q2

library(readxl)
library(rcompanion)

A4Q2 <- read_excel("A4Q2.xlsx")

scholarship_table <- table(A4Q2$status, A4Q2$scholarship)
scholarship_table

##                
##                   0   1
##   Domestic       39 111
##   International 118  32

barplot(
  scholarship_table,
  beside = TRUE,
  col = rainbow(nrow(scholarship_table)),
  legend = rownames(scholarship_table)
)

chi_result <- chisq.test(scholarship_table)
chi_result

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  scholarship_table
## X-squared = 81.297, df = 1, p-value < 2.2e-16

rcompanion::cramerV(scholarship_table)

## Cramer V 
##   0.5272

# A Chi-Square Test of Independence was conducted to determine if there was an association between student nationality (domestic or international) and scholarship status (yes or no).
# The results showed that there was an association between the two variables, χ²(1) = 81.30, p < .001.
# The association was large (Cramer's V = .53).