IT 223

Fall 2026

Craig Miller

Weekly Notes

Assignments

  • Assignment 1

Assignment 1
Data analysis
Submit before 11:30 Sunday September 20

Overview

For this assignment, you will review the class syllabus and practice using R for calculating and displaying descriptive statistics.

Questions and problems

  1. Review the syllabus and respond to the prompts:
    1. What happens if you miss a quiz?
    2. When can you use AI in the class?
    3. When is the final exam?
    4. Note anything that surprises you or catches your attention
  2. Collect at least 20 response times of a local web server (don't use DePaul) and 20 of a far away server (e.g. in Australia). Use the following approach:
    1. In Chrome, click on the three vertical dots in the upper-right corner
    2. Select More Tools and then Developer Tools
    3. In Tools pane, select Nework and select Doc filter
    4. Load or reload page and note response time in ms
  3. Using one sample, confirm the following in R:
    1. The mean is the sum divided by the length
    2. The sd function produces the sample standard deviation. To show this, you will want to obtain a vector of squared differences from the mean.
  4. Provide a set of meaningful descriptive statistics for both samples.
  5. Present a boxplot and histogram of both samples
  6. With a paragraph, summarize your two samples of response times and compare them.

Deliverable

Create word or pdf file that contains the following:

  1. A summary statement of your experience completing this assignment. It should contain a major finding from the paragraph of the last task (not the whole paragraph).
  2. Your clearly labeled answers to questions and problems
  3. Any additional details or output that you would like to include or document but are too long to insert among your answers.

Grading

The assignment is worth 5 points. Full credit will be awarded to complete, accurate and well presented submissions. Points will be deducted for the following:

  • Summary statements that do not reference concepts or details specific to the assignment
  • Summary statements without meaningful experiences and explanations
  • Incomplete answers
  • Inaccuracies (possibly excepting minor ones)