Unit 2 - Drinking Habits Lab (preparation)
- Due Feb 9 at 11:59pm
- Points 10
- Questions 4
- Time Limit None
- Allowed Attempts Unlimited
Instructions
Learn by Doing
Work through this Learn by Doing activity to prepare for the Unit 2 - Drinking Habits Lab. Review your responses after you complete the activity and use the feedback to correct your mistakes if you do not get 100%. You have an unlimited number of attempts and should continue to retake this quiz until you earn 100% so that you are prepared to complete the online lab.
Context
A university conducted a student survey, collecting data from a random sample of 236 undergraduate students.
The data for this lab is a subset of the real data collected by the university. Some students did not answer all of the questions in the survey. We use the symbol * in the spreadsheet to indicate missing data.
Data
Download the drinking datafile.
Variables
- Gender Male or Female
- Alcohol Number of alcoholic beverages consumed in a typical week
- Height Self-reported height (in inches)
- Cheat Would you tell the instructor if you saw somebody cheating on an exam? (0=No, 1=Yes)
Prompt
This quiz will prepare you to answer the following questions in a subsequent discussion activity. You should NOT attempt to answer these questions now.
- Describe the distribution of weekly alcohol consumption using concepts from Unit
- Make an appropriate graph and provide appropriate numerical summaries.
- In your description, include an interval of typical values and a discussion of variability.
- Do the data suggest that drinking is a problem in this university?
- Use the data to support your answer.
Technology Guidelines:
Option 1: Opening the File Using Google Sheet: Here is the instruction on how to open the file in Google Sheet: Module 10 - Drinking Habits Lab (preparation) Google Sheet.pdf. Hope this video helps:
Option 2: Opening the File Using R Programming: Hope this video helps:
Out of the first ten students in the datafile, how many drink 15 or more alcoholic beverages per week?
The following questions will help you prepare for the data analysis.