library(readxl)
library(ggplot2)
library(rcompanion)
A5Q2 <- read_excel("C:/Users/lahar/Downloads/A5Q2.xlsx")

MyTable <- table(A5Q2$nationality, A5Q2$scholarship_awarded)

MyTable
##                
##                   0   1
##   Domestic       39 111
##   International 118  32
barplot(MyTable, beside = TRUE,
        col = rainbow(nrow(MyTable)),
        legend = rownames(MyTable))

chisq.test(MyTable)
## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  MyTable
## X-squared = 81.297, df = 1, p-value < 2.2e-16
rcompanion::cramerV(MyTable)
## Cramer V 
##   0.5272

A Chi-Square Test of Independence was conducted to determine if there was an association between nationality and scholarship awarded.

The results showed that there [was] an association between the two , χ²(1) = 81.29, p = <.001.

The association was [strong], (Cramer’s V = .53).