Lab 1H

Directions: Follow along with the slides, completing
the questions in **blue** on your
computer, and answering the questions in **red** in your
journal.

Space, Click, Right Arrow or swipe left to move to
the next slide.

- The labs until now have covered a huge range of topics:
- We’ve learned how to make plots for different types of variables.
- We know how to subset our data to get a more refined view of our data.
- We’ve covered cleaning data and making two-way frequency tables.

- In this lab, we’re going to combine all of these ideas and topics together to find out how we spend our time.

*Export*,*Upload*,*Import*the data from your class’*Time Use*campaign.The data, as-is, is very messy and hard to interpret/analyze.

- Fill in the blank with the name of your imported data to format it:

- This function formats/cleans the data so that each row represents a typical day for each student in the class
- Hint: Search your
*History*tab for the code to save your formatted`timeuse`

data as an`R`

data file (.Rda)

- In case you’re wondering, the
`timeuse_format`

function:- Takes each student’s daily data and adds up all of the time spent doing each activity for each day.
- The time spent on each activity for each day is then averaged
together to create a
*typical day*in the life of each student.

- Start by getting familiar with your
`timeuse`

data:**How many observations and variables are there?****What are the names of the variables?****Which row represents YOUR***typical day*?

- We would like to investigate the
*research question*: “How did our class spend our time?”- To do this, we’ll perform a statistical investigation.

**State and answer two investigative questions based on our***research question*.**Also, state one way in which your personal data is***typical*and one way that it*differs*from the rest of the class.

**Justify your answers by using appropriate statistical graphics and summary tables.****If you subset your data, explain why and how it benefited your analysis.**