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/stat3210-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 : 8/30
  Chapter 3: 3, 4, 5, 11 (Chapter 3 of the text)

• (2) Due : 9/3 (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 3210-lab.pdf and submit it at tinyurl.com/stat3210-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 : 9/6
  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 9/13:
  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 9/18: (Note: This is a Wednesday)
  (Submit this at https://tinyurl.com/stat3210-work with the name "3210project1.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 9/20: (Submit on Brightspace as usual)
  Chapter 5: 6*, 8*
        *Note: Follow the specific instructions for the textbook problems here.

• (6) Due 9/27:
  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 10/4:
  Chapter 8: 1, 11

• (8) Due 10/11:
  Chapter 9: 3, 8

• Due 10/13 anytime: (Submit via tinyurl) Info for exam1 re-write

• Due 10/16 anytime: MLR mini-project: (Submit via tinyurl filename: "3210miniproj.pdf")

• (9) Due 10/18: (Submit on Brightspace as usual)
  Chapter 9: 11 and these problems using matrices in MLR.
        *Note: There are answers in the back of the book for problem #9 which should help explain what they are looking for in part (d).
  BUT, the F-statistic answers in the back for 9.b.i and 9.c.i are wrong. They should be F(X1)=49.98 w/ df=1,5 and F(X2)=10.96 w/ df=1,5.
  The answers appear to use a "modified" VAIO test (similar to the one employed by R). Here is a corrected solution for #9.

• (10) Due 10/25:
  Chapter 10: 2, 7*, 11*
        *Note: Follow the specific instructions for the textbook problems here.

• (11) Due 11/1:
  Chapter 11: 2, 6 [using bookdata("ch08q10.txt")]
        *Note: #3 & #5 have solutions and are suggested, but will not be collected (#3 would be good to look at before doing #2)

• (12) Due 11/8:
  Chapter 14: 4 [using bookdata("ch05q04.txt") - check #4 in chapter 5 for problem context]
        *Note: Skip the portion of part (c) dealing with Cook's distances for now. For part (c) indicate the df and critical values for tests both correcting and not correcting for multiple comparisons with the jackknife residuals.