Assignment 5 B2

library(readxl) 
library(ggplot2) 
library(rcompanion)

DatasetB2 <- read_excel("/Users/srikarthikeya/Downloads/DatasetB2.xlsx")

tab <- table(DatasetB2$StudentType, DatasetB2$PetOwnership)
tab

##                
##                 No Yes
##   Domestic      27  25
##   International 23  25

ggplot(DatasetB2, aes(x = StudentType, fill = PetOwnership)) +
  geom_bar(position = "dodge") +                 
  labs(
    x = "StudentType",
    y = "Frequency",
    title = "PetOwnership by StudentType"
  ) +
  theme(
    text = element_text(size = 14),
    axis.title = element_text(size = 14),
    axis.text = element_text(size = 14),
    plot.title = element_text(size = 14),
                    
  ) 

chisq.test(tab)

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  tab
## X-squared = 0.040064, df = 1, p-value = 0.8414

cramerV(tab)

## Cramer V 
##  0.04003

With the Pearson’s Chi-squared test with Yates’ continuity correction the p-value is 0.8414 which is greater than 0.05 which makes in insignificant.

The Chi-Square Test of Independence indicated there was not a significant association between Type of Student and PetOwnership, χ²(1) = 0.040, p = 0.8414. There is no association between the two variables (Cramer’s V = 0.04003).