Spring 2019

# assignments

## 1. Assignment 1 due Fri Feb 8

• From Chapter 1 of OpenIntro Stats (Section 1.9, p55 onwards): 1.4, 1.11, 1.15 (what? I'm not hinting anything...), 1.34, 1.54.
• Find the mean, median and standard deviation of the data for one of the cookies, like we did in class (i.e. don't get R to just calculate it for you, but you can use it, or something else, to do the arithmetic). Check your answers in R.
• R has a built-in data set called "iris". Typing "iris" into an R window will make it show up. Typing "?iris" will give you the help page that describes it. Use some of the tools you learned in the R lab to examine and describe this data set.
• Make a graph in ggplot2. Use any data you like (there are some links on the resources page you might want to explore, and R has some built-in ones too like the iris one from the last question). The goal here is to get started and familiar with it rather than spending hours crafting some perfect complicated visualisation.
• Find a graph out in the wild (on the internet, in a newspaper, a textbook,...) that you think is misleading. Explain why. The more reputable the source and egregious the visualisation, the more imaginary bonus points you score.
• Find a visualisation out in the wild that is at least moderately complex and that you think does a good job. Explain why you think it does.

## 2. Assignment 2 due Fri Mar 1

• Probability Lab Exercises and "On Your Own" problems at the end. (If you have RStudio, try using Knit Document to make a PDF of your work.)
• From Chapter 2 of OpenIntro Stats (Section 2.6, p116 onwards): 2.1, 2.10, 2.12, 2.13, 2.25, 2.32
• How long did it take you to complete the Campus Climate Survey, if you took it? Any comments (if so, please comment on the google doc directly)?

## 3. Final Project Check-in 1 due Tue Mar 5

Please write up a "proposal" for your final project. Write a paragraph describing which data set you are going to look at, and some ideas for research questions that you would like to answer in your analysis.

## 4. Assignment 3 due Fri Mar 29

• Distributions Lab Exercises and "On Your Own" problems at the end. Use ggplot2 or qplot to make all of the graphs that are used in the lab.
• Do something cool, learning something new that you haven't done before, in ggplot2.
• From Chapter 3 of OpenIntro Stats (Section 3.6, page 158 onwards): 3.3, 3.7 (use R to find your answers), 3.17, 3.36

## 5. Assignment 4 due Fri Apr 12

• Intro to Inference Lab Exercises and "On Your Own" problems at the end.
• From Chapter 4 of OpenIntro Stats (Section 4.6, page 203 onwards): 4.3, 4.5, 4.13, 4.21, 4.30

## 6. Final Project Check-in 2 due Tue Apr 16

Please write up a more detailed "proposal" for your final project. This can be added to your last check-in. Please include definitions of the variables you will be using/measuring in your final project. Be as precise as possible.

## 7. Assignment 5 due Mon Apr 22

• Confidence Levels lab (all of the exercises and the "On Your Own" problems).
• From Chapter 5 of OpenIntro Stats (Section 5.6, page 257 onwards): 5.8, 5.27, 5.29, 5.41, 5.42, 5.49

## 8. Draft of Final Project due Fri Apr 26

Please submit a draft of your final project today. Your write-up should involve an introduction of your research question or hypothesis, some work with R, graphs on ggplot2, analysis, and final remarks.

## 9. Assignment 6 due Wed May 1

• Inference for numerical data lab, and either the Inference for categorical data lab, or Introduction to linear regression lab (your choice)
• From Chapter 6 of OpenIntro Stats (Section 6.7, page 312 onwards): 6.39, 6.40, 6.44

## 10. Final Project due Tue May 7

PLEASE NOTE THAT NO WORK WILL BE ACCEPTED AFTER 4:30 PM

Please submit your final project to me by May 7 at 4:30 pm. I am not allowed to accept work after this.

Your write-up should involve an introduction of your research question or hypothesis, some work with R, graphs on ggplot2, analysis, and final remarks.