Stat 301 – Week 2 Assignments

 

As soon as possible

Complete the SATS survey

Try to answer as you would have before the first day of the course.

 

For Monday

·       Complete (and submit in Blackboard) Practice Problem 1.3.2  “Confounding Variables” (p. 28)

·       Complete Investigation 1.4.1.

 

For Tuesday

·       Complete (a)-(e) of Investigation 1.5.1 (p. 43-44)

·       Complete (and submit in Blackboard as multiple choice) Practice Problem 1.4.3 (p. 40)

·       Submit Lab 1 (see assignment on webpage)

 

For Thursday

·       Complete (and submit in Blackboard as multiple choice) Practice Problem 1.5.1 (p. 50)

·       Submit mini-project proposal (identify group members and data collection plan). Remember to focus on comparing groups rather than how sample is selected from larger population.

 

For Friday

·       Submit HW 2 (below)


HW 2 – to be submitted Friday, Oct. 3

 

1) SATS survey

 

2) A USA Today article (“Crime Finds the Never Married,” June 29, 2001) examines data from the Justice Department’s National Crime Victimization Survey, which estimated the number of violent crimes per 1000 people, 12 years of age or older, to be 51 for the never married, 42 for the divorced or separated, 13 for married individuals, and 8 for the widowed.  Describe a confounding variable that illustrates why it is unreasonable to conclude that a change in marital status causes a change in crime risk. Make sure you discuss how the potential confounding variable is related to both the response and the explanatory variables.

 

3) Exercise #18 (p. 86) – be brief in your descriptions

 

4) Exercise #23 (p. 87)

 

5) Exercise #24 (p. 88)

 

6) Exercise #31 (p. 90)

 

7) Practice problem 1.5.2 (p. 50-51)

You may choose to include a screen capture of your simulation results – you can use the “print screen” button on your keyboard to capture the image to the clipboard and in a Word document you can select paste (e.g., ctrl-V) to paste the image.

Hint: In (e), compare the observed number in the saline group to the “expected number” to decide if there are more or fewer than expected.

 

8) Exercise #32 (p. 90)