library(readxl)
A4Q2 <- read_excel("C:/Users/smith/OneDrive - Saint Louis University/AA 5221/Assignment 4/A4Q2.xlsx")
View(A4Q2)

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

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

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

chi_result <- chisq.test(scholarship_table)
chi_result

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

format(chi_result$p.value, scientific = FALSE)

## [1] "0.0000000000000000001942166"

rcompanion::cramerV(scholarship_table)

## Cramer V 
##   0.5272

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

# The results showed that there was an association between the two variables, χ²(1) = 81.30, p < .001.

# The association was large, (Cramer's V = .53).