Load libraries

install.packages(“readxl”) install.packages(“ggpubr”)

library("readxl")
library("ggpubr")
## Loading required package: ggplot2
A5Q1 <- read_excel("A5Q1-1.xlsx")
observed <- table(A5Q1$flavor)
observed
## 
##  Chocolate      Mango Strawberry    Vanilla 
##         87         32         57         74
barplot(observed, main = "flavor", xlab = "flavor", ylab = "Count", col = rainbow(length(observed)))

expected <- c(.20,.20,.20,.40)

chi_result <- chisq.test(x = observed, p = expected)
chi_result
## 
##  Chi-squared test for given probabilities
## 
## data:  observed
## X-squared = 41.6, df = 3, p-value = 4.878e-09
w <- sqrt(as.numeric(chi_result$statistic) / sum(observed))
w
## [1] 0.4079216
# A Chi-Square Goodness of Fit test was conducted to determine if there was a difference between the observed [flavor] frequencies and the expected frequencies.

# The results showed that there [was / was not] a difference between the observed and expected frequencies, χ²(df) = 41.6, p = .4.878e-09.

# The difference was [strong], (Cohen's W = .4079216).