FINAL EXAM

About The Final

• Course content tested: The Final exam will cover chapters MS 1-8,10. Some of the major subjects covered are in the list below, though this is not an exhaustive list. All of this will be in a practical context using R in all questions. You will need to be familiar with all the STATS in action applications in our textbook as well as SHINY and advanced R skills we have covered in our readings, labs, and quizzes. While the questions will be comprehensive, it will focus on chapters 7-10 theory and practice.
  
  • types of variables
  • plots
  • other summaries
  • outliers via boxplots
  • Z transformations
  • probability functions
  • densities
  • the t.test function and its options
  • lm for regression applications
• Exam Format: You will complete the questions and upload your answer file. Review "Directions" section below for details.
  
• Time limit: 120 minutes + 15 minutes for upload
  
• Number of attempts: 1

Objectives

The FINAL will examine a selection of topics from the following theory and procedures:

• Chebyshev and empirical theorems
• Z transformations
• boxplots
• histograms
• Use of dpqr stem R functions
• Using SHINY apps including making plots interactive
• apply() function
• the overbooking problem of project 1
• the MOAGUN "Stats in Action"
• dplyr package -- the 5 verbs 
• wrangling a data frame -- make a data frame "tidy", use tidyr::pivot_longer() 
• ggplot2 package making aesthetically pleasing plots
• uniroot(), roots
• optimise(), minima/maxima
• w-F simulation ( This is MS Theorem 6.7 )

• Proof related to SLR such as
  • the multiple statistic
  • derivation
  • confidence interval for parameters

Directions

Use an RMD document and place all R code in chunks. Please place any extended proof on paper and add to RMD with ![](){} using a picture. Knit to HTML and upload this document (the HTML) on CANVAS. You may not open anything except Canvas (for the questions) and your R Studio application. In addition, you may use R's help files.

You will need the tidyverse package ( library("tidyverse") )

Assessment

A 100-point rubric will be used to assign points to your exam. There will be 5 questions covering various topics from Modules 1-15. You will be given 120 minutes to complete the exam. There will also be 15 minutes allotted to upload the final HTML file to Canvas.

Academic Integrity

• Closed book -- you must not use any resources other than R studio, the Canvas page holding the exam, and R's help files.
• All work should be yours only
• No conversing with other students during the exam.