library(readxl)
library(ggplot2)
library(rcompanion)
A5Q2 <- read_excel("C:/Users/raadrish/Desktop/assignment 5/A5Q2.xlsx")
MyTable <- table(A5Q2$nationality, A5Q2$scholarship_awarded)

MyTable
##                
##                   0   1
##   Domestic       39 111
##   International 118  32
barplot(MyTable, beside = TRUE,
        col = c("blue", "orange"),
        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 test 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 variabless, χ²(df) = 81.30, p < .001

The association was strong, (Cramer’s V = 0.53).