MIDTERM EXAM

  • Due No due date
  • Points 100
  • Questions 2
  • Time Limit 80 Minutes

Instructions

About The Midterm

  • Course content tested: The mid-term exam will cover chapters MS 1-6 (Modules 1-8). Types of variables, plots, other summaries, outliers via boxplots, and Z transformations. Probability functions and densities are some of the major subjects covered. All of this will be in a practical context using R in all questions. You will need to be familiar with the MOAGUN (MS page 225), statistics in action, and Project 1.
  • 10 miinutes to upload
  • Exam Format: You will complete the questions and upload your answer file. Review "Directions" section below for details.
  • Time limit: 70 minutes
  • Number of attempts: 1

Objectives

You must be able to use 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 )

Theorem 6.7 - how a random sample can be generated from a uniform sample; evaluated by inverting cumulative distribution

 

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 1-8. You will be given 60 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.

 

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