library(readxl)
A4Q1 <- read_excel("C:\\Users\\Ckbar\\Downloads\\A4Q1.xlsx")
names(A4Q1)

## [1] "flavor"

observed <- table(A4Q1$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

Summarized Results # A Chi-Square Goodness-of-Fit test was conducted to determine if there was a difference between the flavor frequencies and the expected frequencies. # The results showed that there was a moderate difference between the observed and expected frequencies, χ²(3) = 41.6, p < .001 # The difference was moderate (Cohen’s W = .41).

Updated #my code for the most part appears to be okay, but the errors were in my written interpreation.I also fixed my backticks so that my barplot section would be included in the RMarkdown file. # I fixed the degree of freedom in my chi-square interpreatation. # I originally reported 2 degrees of freedom, but there are 4 categories, so the correct degreees of freedom is 3. #I also fixed the p-value in my interpretation, I originally reported p=4.87, but the R output showed 4.878e-09, which should be reported as p<.001.