Introduction

In addition to functions already included in R, below contains the code you will need to load to be prepared to answer questions for Jeopardy

library(dplyr)


## Bootstrap Function
bootstrap <- function(x, statistic, n = 1000L) {
  bs <- replicate(n, {
    sb <- sample(x, replace = TRUE)
    statistic(sb)
  })
  data.frame(Sample = seq_len(n), 
             Statistic = bs)
}

se <- function(x) sd(x) / sqrt(length(x))

## College data
college <- read.csv("https://collinn.github.io/data/college2019.csv")

## Hawks data
hawks <- read.csv("https://collinn.github.io/data/hawks.csv")

## Fix penguin data
penguins <- read.csv("https://collinn.github.io/data/penguins.csv")
penguins <- filter(penguins, !is.na(bill_length_mm))