Module5practice
.pdf
School
University of Notre Dame**We aren't endorsed by this school
Course
ABC23 231
Subject
Statistics
Date
Dec 19, 2024
Pages
2
Uploaded by Daniel12581
STA302 Lec5101, Methods of Data Analysis 1Module 5: Problem setOctober 1, 20241Basic learning objective practiceProblem.Sheather: Chapter 2: Exercise 1. Skip part (b).You can load the data with R:playbill=read.csv("https:// gattonweb.uky.edu/sheather/book/docs/datasets/playbill.csv",header=T)Problem.Sheather: Chapter 2: Exercise 2You can load the data with R:indicators=read.table("https:// gattonweb .uky.edu/sheather/book/docs/datasets/ indicators .txt",header=T)Problem.Sheather: Chapter 2: Exercise 3. Skip (b).You can load the data with R:1
invoices=read.table("https://gattonweb .uky.edu/sheather/book/docs/datasets/invoices.txt",header=T)Problem.Sheather: Chapter 2: Exercise 4 (a), (b).Problem.Weisberg: Chapter 2, Problem 2.1.2, 2.1.3You can use ”abline” to draw a line over a scatterplot for part 2.1.2. Skip the hypothesistest part of 2.1.3. You can load the data with R:library(alr4)data(Htwt)Problem.Rencher: Chapter 6, Problems 2, 3, 14 (a), (c)data(faithful)2Advanced learning objective practice from text-booksProblem.Sheather: Chapter 3, Exercise 3.You can load the data with R:adrevenue=read.csv("https:// gattonweb.uky.edu/sheather/book/docs/datasets/ AdRevenue .csv",header=T)2