library(readxl)
library(ggplot2)
library(rcompanion)
DatasetA2 <- read_excel("C:/Users/Admin/Downloads/DatasetA2.xlsx")
names(DatasetA2)
## [1] "StudentID" "FavoriteDrink"
table(DatasetA2$FavoriteDrink)
##
## Coffee Soda Tea Water
## 26 29 28 17
ggplot(DatasetA2, aes(x = FavoriteDrink, fill = FavoriteDrink)) +
geom_bar() +
labs(
x = "Favorite Drink",
y = "Frequency",
title = "Distribution of Favorite Drink"
) +
theme(
text = element_text(size = 14),
axis.title = element_text(size = 14),
axis.text = element_text(size = 14),
plot.title = element_text(size = 14),
legend.position = "none"
)
observed <- as.vector(table(DatasetA2$FavoriteDrink))
expected <- rep(0.25, 4)
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 significantly different from the expected frequencies, χ²(3) = 3.60, p = 0.308.