A5Q2

Assignment 5 Question 2 stated - Is there an association between the student nationality and whether or not they have a scholarship?

load required rcompanion packages

library(readxl)
library(ggpubr)

## Loading required package: ggplot2

library(rcompanion)
library(rmarkdown)

import the A5Q2 dataset

A5Q2 <- read_excel("A5Q2.xlsx")

create the table of data

correction in the removal of the student_id from the table of data

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

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

create the barchart of data

barplot(Table, beside = TRUE, col = rainbow(nrow(Table)), legend = rownames(Table), main = "Nationality and Scholarship Awarded", xlab="No or Yes", ylab="Count")

correction of table verse mytable previously in the script

chisq.test(Table)

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

calculate the effect size of the data

rcompanion::cramerV(Table)

## Cramer V 
##   0.5272

The interpretation of the data results

A Chi-Square Test of Independence was conducted to determine if there was an association between Variable 1, student nationality and Variable 2, students who got a scholarship. The results showed that there [was] an association between the two variables, χ²(2) = 81.30, p < .001. The association was [strong], (Cramer’s V = .53).

There was a correction in the Chi-Square Test results above, therefore the interpretation has been updated to reflect the current analysis of the dataset.