#' STAT210prob3.19: Donations to the Opera
#'
#' A regional opera company has tried three approaches to solicit donations from 24
#' potential sponsors. The sponsors were randomly divided into three groups of
#' eight and one approach was used for each group. This data shows the dollar
#' amounts of the resulting contributions for each of the sponsors.
#'
#' @format A data frame with 24 observations (rows) and 3 variables (columns).
#'
#' \tabular{llllr}{
#' \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#' \code{[,1]} \tab \code{Approach} \tab integer \tab 3 different approaches \tab (1, 2, 3)\cr
#' \code{[,2]} \tab \code{Contribution} \tab integer \tab The donation from each sponsor in $ \tab (900 - 2000)\cr
#' \code{[,3]} \tab \code{RESI1} \tab numeric \tab Residuals \tab (-537.5 - 493.75)
#' }
#'
#' @details
#'
#' This is data from Exercise 3.19 in Design and Analysis of Experiments, 9th
#' Edition, EMEA Edition.
#'
#' @examples
#'
#' # A short summary of the variables
#' summary(STAT210prob3.19)
#'
#' # Get the residuals
#' STAT210prob3.19$Approach <- as.factor(STAT210prob3.19$Approach)
#' res <- aov(Contribution ~ Approach, data = STAT210prob3.19)
#' res$residuals
#'
#' @source Montgomery, D. C. (2019) \emph{Design and Analysis of Experiments,
#' 9th Edition, EMEA Edition}. New York: Wiley.
#'
#' @docType data
#' @keywords datasets
#' @name STAT210prob3.19
#' @usage STAT210prob3.19
#'
"STAT210prob3.19"
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