Lab 5: Body Temperature

Learning Objectives

  • Analyze data consisting of one categorical/binary explanatory and one quantitative response variable
  • Make and interpret boxplots
  • Simulate the null distribution for the difference in two sample means
  • Analyze data consisting of a quantitative explanatory variable and a quantitative response variable
  • Make and interpret scatterplots
  • Carry out an entire test of significance for correlation using simulations and theory

Readings

To prepare for this lab assignment read the following lecture notes

  1. Simple Linear Regression

For past reference on visualizing and analyzing categorical/numerical variables refer to

Required Data and Packages

We will use the following data in this lab

  1. The file "bodytemp.csv" on CCLE has data from a study done by Philip A. Mackowiak, MD et al. in 1992 (Mackowiak, et. al, JAMA. 1992;268(12):1578-1580)

Throughout the lab we will use the mosaic package

library(mosaic)

Questions