In this lab, we get to try working with bootstrap distributions to estimate the standard error of sample statistics and construct confidence intervals.

Setting a seed: We will take some random samples and build bootstrap distributions in this lab, which means you should set a seed on top of each chunk. Using the command set.seed(x), where x is a number of your choosing.

Load packages

In this lab we will explore the data using the dplyr package and visualize it using the ggplot2 package for data visualization. We will also do some sampling with replacement using the mosaic package. The data can be found in thecompanion package for OpenIntro labs, oilabs. Finally, we will use a new package called infer.

Let’s load the packages.

library(dplyr)
library(ggplot2)
library(oilabs)
library(mosaic)

The data