Open the Installed Packages
library(readxl)
library(ggplot2)
Import and Name Dataset
DatasetA2 <- read_excel("C:/Users/tejas/Downloads/DatasetA2.xlsx")
Create a Frequency Table
table(DatasetA2$FavoriteDrink)
##
## Coffee Soda Tea Water
## 26 29 28 17
Create a Bar Chart
ggplot(DatasetA2, aes(x = FavoriteDrink, fill = FavoriteDrink)) +
geom_bar() +
labs(
x = "FavoriteDrink",
y = "Frequency",
title = "Preferences 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)
)
Conduct the Chi-Square Goodness-of-Fit Test
observed <- c(26, 29, 28, 17)
expected <- c(0.25, 0.25, 0.25, 0.25)
chisq.test(x = observed, p = expected)
##
## Chi-squared test for given probabilities
##
## data: observed
## X-squared = 3.6, df = 3, p-value = 0.308
Interpret and Report the Results
A chi-square goodness-of-fit test indicated that the observed frequencies were not different from the expected frequencies, χ²(3) = 3.6, p = .308