library(readxl)
library(ggplot2)
DatasetA2 <- read_excel("/Users/ishujha/Downloads/AppliedAnalytics/DatasetA2.xlsx")

table(DatasetA2$FavoriteDrink)
## 
## Coffee   Soda    Tea  Water 
##     26     29     28     17
ggplot(DatasetA2, aes(x = FavoriteDrink, fill = FavoriteDrink)) +
  geom_bar() +
  labs(
    x = "FavoriteDrink",
    y = "Frequency",
    title = "Distribution of FavoriteDrink"
  ) +
  theme(
    text = element_text(size = 14),       
    axis.title = element_text(size = 14), 
    axis.text = element_text(size = 14), 
    plot.title = element_text(size = 14), 
    legend.position = "none"             
  )

observed <- c(26, 29, 28, 17) 
expected <- c(.25, .25, .25, .25)
chisq.test(x = observed, p = expected)
## 
##  Chi-squared test for given probabilities
## 
## data:  observed
## X-squared = 3.6, df = 3, p-value = 0.308

A chi-square goodness-of-fit test indicated that the observed frequencies were not different from the expected frequencies, χ²(df) = 3.60, p = .308.