Assignments

Pre-class Videos (PCV) (daily assignment)

• Watching and taking notes on the pre-recorded class videos will be an ongoing homework assignment throughout the course.
• Link to sections and due dates for PCVs.
• Link to videos.

Pre-class Notes (daily assignment, due before class - Submitted via tinyurl.com/stat5210-work - NOT on Brightspace)

• You will submit pre-class notes before each class meeting about the video assigned for that day's class.

Homework Problems and Projects (weekly, with exceptions noted - due by the end of the day listed)

NOTE: You may need to Reload/Refresh this page to ensure that you have the most recent version.
NOTE: *** Submit your HW solutions on Brightspace (unless otherwise indicated) ***

Answers to odd numbered problems can be found in the back of the text. Solutions to the assigned problems will be posted on Brightspace after they are collected.

Later in the course we may use R Markdown to generate Word or HTML files for homework assignments. Until then, you can cut and paste *relevant* output from R into Word. Do not turn in pages of unnecessary R output. Any figures should be scaled so that they do not take up a great deal of space.

• (1) Due : 9/4
  Chapter 3: 3, 4, 5, 11 (Chapter 3 of the text)

• (2) Due : 9/8 (Note: This is a Tuesday)
  Download and install R and RStudio. You can find instructions at the R Software link.

  Complete this R lab from STAT 211 on Inference for Numerical Data (just submit answers to the "on your own" section). Name your file 5210-lab.pdf and submit it at tinyurl.com/stat5210-work instead of Brightspace.

  Those of you who have not used R before should go through the two introductory labs from STAT 211 listed below (you do not need to turn in your work on these).
  STAT 211: Lab #0
  STAT 211: Lab #1

• (3) Due : 9/11
  Chapter 3: 14(+ part b below), 16, 19, 23 and this problem on power/type II errors.
  +14 (b)
  Suppose that you are testing Ho: mu_1=mu_2 vs. Ha: mu_1 > mu_2 at the alpha=.05 level of significance.
  (i) Write the rule for rejecting Ho in terms of T-scores.
  (ii) Compute the T statistic, a p-value for the test, and state a conclusion.
  

• (4) Due 9/18:
  Chapter 5: 2abe*, 4*
        *Note: there are specific instructions for the textbook problems here. These are clarifications for specific parts of the problems. If there is no clarification listed for a specific part, you still need to do that part (unless it says "skip" or otherwise indicates to omit something).
        Graduate students: An additional derivation problem here.

• (Project 1) Due 9/23: (Note: This is a Wednesday)
  (Submit this at https://tinyurl.com/stat5210-work with the name "5210project1.pdf")
  Your project on identifying distributions can be found here. Be sure to read and follow all directions, as this will be part of your grade.
        *Note: You can find info about your dataset here.

• (5) Due 9/25: (Submit on Brightspace as usual)
  Chapter 5: 6*, 8*
        *Note: Follow the specific instructions for the textbook problems here.

• (6) Due 10/2:
  Chapter 6: 4*, 10*, 14ab* and this problem on type II errors in regression.
        *Note: Follow the specific instructions for the textbook problems here.
  Chapter 7: 2* (just using SBP & QUET) and this problem on lack of fit testing.
        *Note: Be sure that you can create the ANOVA table BY HAND based only on the 2 given values (MSE & SSY) along with n=32.

• (7) Due 10/9:
  Chapter 8: 1, 11