#install.packages("rcompanion")
library(readxl)
library(ggplot2)
library(rcompanion)
A5Q2 <- read_excel("C:/Users/sanja/Downloads/A5Q2.xlsx")
MyTable <- table(A5Q2$nationality, A5Q2$scholarship_awarded)

MyTable

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

barplot(MyTable, beside = TRUE,
        
        legend = rownames(MyTable),
        main = "Schloarship by Nationality",
        xlab = "Scholarship Status",
        ylab = "Count",
        col = rainbow(nrow(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 andscholarship_awarded.

# The results showed that there [was] an association between the two variables, χ²(1) = 81.297, p <0.001 .

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

A5Q2

sanjay

2026-04-17

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