Our time.

Lab 1H

Directions: Follow along with the slides and answer the questions in red font in your journal.

We've come a long way

  • 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 out time.

First steps first.

  • Export, Upload, Import the class' timeuse data from your class' Home Page as timeuse_raw.
  • 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:
timeuse <- timeuse_format( _____ )
  • This function formats/cleans the data so that each row represents a typical day for each student in the class

timeuse_format specifics

  • 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 average together to create a typical day in the life of each student.

Exploring your data

  • 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?

How do we spend our time?

  • 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 statistical 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.