library(readxl)
library(ggplot2)
library(rcompanion)
A5Q2 <- read_excel("C:/Users/User/OneDrive - Saint Louis University/Desktop/Medical informatics/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 student nationality (domestic versus international) and whether or not they have a scholarship (yes versus no).
# The results showed that there [was] an association between the two variables, χ²(1) = 81.297, p < .001.
# The association was [strong], (Cramer's V = .53).