A5Q2

library(readxl)
library(ggplot2)
library(rcompanion)

library(readxl)
A5Q2 <- read_excel("C:/Users/edavi/OneDrive/Desktop/A5Q2.xlsx")
View(A5Q2)

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

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

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

Cramer V 0.5272

A Chi-Square Test of Independence was conducted to determine if there was an association between nationality and scholarships awarded. The results showed that there was an association between the two variables, X-squared(1) = 81.30, p < .001. The association was strong, (Cramer’s V = .53).