RM PAUL A5Q2

library(readxl)

## Warning: package 'readxl' was built under R version 4.5.3

library(ggplot2)

## Warning: package 'ggplot2' was built under R version 4.5.3

library(rcompanion)

## Warning: package 'rcompanion' was built under R version 4.5.3

A5Q2 <- read_excel("C:/Users/jrutebuka/Desktop/A5Q2.xlsx")

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

MyTable

##    
##     Domestic International
##   0       39           118
##   1      111            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 Variable 1 and Variable 2.

# The results showed that there was an association between the two variables, χ²(1) = 81.29, p <0.001.

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