library(readxl)
A4Q2 <- read_excel("~/Library/CloudStorage/OneDrive-SaintLouisUniversity/AA-5221-12/Assignment 4/A4Q2/A4Q2.xlsx")
library(rcompanion)
library(ggplot2)

A4Q2_table <- table(A4Q2$scholarship, A4Q2$status)
A4Q2_table

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

barplot(A4Q2_table,
        beside = TRUE,
        col = rainbow(nrow(A4Q2_table)),
        legend = rownames(A4Q2_table))

chi_result <- chisq.test(A4Q2_table)
chi_result

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  A4Q2_table
## X-squared = 81.297, df = 1, p-value < 2.2e-16

rcompanion::cramerV(A4Q2_table)

## Cramer V 
##   0.5272

# A Chi-Square Test of Independence was conducted to determine if there was an association between scholarship status and student nationality.
# 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).