Statistics 201 - Fall 2013

Department of Statistics

University of California, Irvine

Welcome to the homepage for Statistics 201: Statistical Methods for Data Analysis I (Graduate Level)

Class Time

Lecture
Discussion
1200 Donald Bren Hall (DBH)
Mon, Wed, 2:00 - 3:20pm
1300 Donald Bren Hall
Wed 3:30 - 4:20pm

How, when and where to find me:

Professor Jessica Utts
2038 Donald Bren Hall
(949) 824-0649
jutts_at_uci.edu [Not clickable to avoid spam]
Tues 4-5:30pm, Wed 5:00-6:00pm, and by appointment
Office hour change for Finals week: Tues Dec 10 and Thurs Dec 12: 1-2:30pm

Syllabus, resources and material from class lectures and discussions

Information about Installing R and R Commander, and getting an ICS Computing Account

Instructions for Using R and R Commander (Updated throughout the quarter)

R Instructions, mostly using Exercises 1.19 and 6.9 as examples; Modified from materials prepared by my UC Davis TA Michael McAssey. Thanks, Michael!

Data Sets and Applets (Posted as needed)

Practice Exams and Exam Keys

Homework Solutions, posted after they are due

  • Assignment #1, Due Wed, Oct 9
  • Assignment #2, Due Wed, Oct 16
  • Assignment #3, Due Wed, Oct 23
  • Assignment #4, Due Mon, Oct 28
  • Assignment #5, Due Wed, Nov 6
  • Assignment #6, Due Wed, Nov 13
  • Assignment #7, Due Wed, Nov 20
  • Assignment #8, Due Wed, Nov 27
  • Assignment #9, Due Wed, Dec 4

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    Homework assignments:

     
    Date Assigned Date Due Assignment Sections covered and skipped; other topics covered
    Mon Sept 30 Wed Oct 9 Chapter 1: #12, 13, 29, 30 Overview of Regression; Start Chapter 1
    Wed Oct 2 Wed Oct 9 Chapter 1: #2, 5, 8, 17, 18 Finish Chapter 1
    Oct 2 Disc. Introduction to R and R Commander
    Mon Oct 7 Wed Oct 16 Chapter 1: #27 (use R or R Commander); Chapter 2: #9, 10, 28ab Sections 2.1, 2.2, 2.4; Skip 2.3
    Wed Oct 9 Wed Oct 16 Chapter 2: #12, 27 Sections 2.4, 2.5; Skip 2.6, 2.11; Do 2.8 with Ch. 3
    Oct 9 Disc. Review of some basic statistics; t, chi-square, F distributions
    Mon Oct 14 Wed Oct 23 Chapter 2: #18, 29bcde, 33bc, 56a, 57a Sections 2.7 to 2.9
    Wed Oct 16 Wed Oct 23 Chapter 3: #1, 18 Data for 3.18, 20 Sections 3.1 to 3.4, 3.8, 3.9; Skip 3.5, 3.6, 3.10; Read 3.11 on your own; Skip Ch 4
    Oct 16 Disc. No discussion
    Mon Oct 21 Mon Oct 28 Chapter 3: #15 Data for 3.15 Section 3.7; Start Chapter 5 (Skip most of Chapter 4) (Practice problems Ch 5, #1, 2 and Solutions)
    Wed Oct 23 Mon Oct 28 Ch. 5: #5, 8ab, 17a; Ch. 6: #2, 25; Ch. 8: #21a; Show the matrix H is idempotent
    (These are all short answer, no computer work!)    		Finish Chapter 5; Start Sections 6.1 to 6.5
    Oct 23 Disc. Continue 6.1 to 6.5 and Data analysis example
    Mon Oct 28 Wed Nov 6 Assignment for Oct 28 and UCD.txt, Data for Homework #5 Part of Section 4.1; Sections 6.6, 6.7; Read 6.9 on your own
    Wed Oct 30 Midterm exam on Chapters 1 to 6
    Oct 30 Disc. No discussion
    Mon Nov 4 Wed Nov 13 Chapter 7: #1, 2, 5, 6; Data for Exercises 6.15, 7.5 and 7.6 with Y listed first, then X1 to X3, no variable names in file Parts of Section 6.8; Sections 7.1 to 7.3; Skip 7.4, 7.5
    Wed Nov 6 Wed Nov 13 Assignment for Nov 6 and PhysicalData.txt, Data for Nov 6 Sections 7.6, 8.3 and 8.4
    Nov 6 Disc. Catch up time if needed; go over midterm
    Mon Nov 11 Veterans' Day Holiday
    Wed Nov 13 Wed Nov 20 Chapter 8: #4abeg (Data with muscle mass listed first), 17, 34 Sections 8.2 and 8.5, then 8.1
    Nov 13 Disc. No discussion
    Mon Nov 18 Wed Nov 27November 18 homework assignment (See Nov 4 for data.) Parts of Sections 9.3, 9.4; Read 9.1, 9.2
    Wed Nov 20 Wed Nov 27November 20 homework assignment, clarifications added Nov 24; and data Nov20Hmwk.txtSections 10.2 to 10.4
    Nov 20 Disc. Two sample t-test using the ANOVA framework
    Mon Nov 25 Wed Dec 4 Assignment for Nov 24; choose Student0405.txt with tab separators or student0405.txt with comma separators One-way analysis of variance
    Wed Nov 27 Wed Dec 4 S4.4 and S4.10 to S4.14 in the Chapter (from Utts/Heckard textbook) posted under "Class Files" here (You will need to log in with your UCI password.) Two factor ANOVA
    Nov 27 Disc. No discussion (day before Thanksgiving)
    Mon Dec 2 Wed Dec 4 S4.5 to S4.9 in the Chapter (from Utts/Heckard textbook) posted under "Class Files" here (You will need to log in with your UCI password.) Finish two factor ANOVA; random effects
    Wed Dec 4 No homework Randomized block design, nested effects, repeated measures
    Dec 4 Disc. Analysis of variance examples from Dec 4 discussion, with answers
    Fri Dec 13 Final Exam, 1:30-3:30pm