library(readxl)
A4Q1 <- read_excel("C:/Users/Ckbar/OneDrive - Saint Louis University/AA 5221/Assignment 4/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 w <- sqrt(as.numeric(chi_result$statistic) / sum(observed)) w

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(2) = 41.6, p = 4.87. # The difference was moderate (Cohen’s W = .41).