#CORRECTION: INSERT QUESTION AND HEADING: Is there an association between student nationality (domestic versus international) and whether or note they have a scholarship (yes vs no)?

library(readxl)
library(ggplot2)
library(rcompanion)
nationality <- read_excel("nationality.xlsx")
MyTable <- table(nationality$nationality, nationality$scholarship_awarded)
MyTable 
##                
##                   0   1
##   Domestic       39 111
##   International 118  32
barplot(MyTable, beside = TRUE,
        col = rainbow(nrow(MyTable)),
        legend = rownames(MyTable),
        main = "Nationality and Scholarship Awarded",
        xlab = "No or Yes",
        ylab = "Count")

#CORRECTION: INSERT X AXIS AND TITLE #COREECTION: ERROR IN BARPLOT labeling of “TABLE”, MUST REFER TO 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 nationality (domestic versus international) and whether the student recieved a scholarship (yes or no).

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

The association was strong, (Cramer’s V = .53).

#CORRECTION - CRAMERS INCORRECTLY ROUNDED to .52, MODIFIED TO .53 #CORRECTION - MODIFIED TO MAKE SUMMARY MORE CLEAR