Statistics 110/201 - Fall 2012

Department of Statistics

University of California, Irvine

Welcome to the homepage for Statistics 110/201: Statistical Methods for Data Analysis I

Class Time

Lecture
Discussion
262 Humanities Hall
Mon, Wed 9:30 - 11:00am
262 Humanities Hall
Mon 4:00 - 4:50am

How, when and where to find us:

Professor Jessica Utts TA: Shiwei Lan
2212 Donald Bren Hall 2013 Donald Bren Hall
(949) 824-0649 no phone
jutts_at_uci.edu [Not clickable to avoid spam] slan_at_uci.edu
Mon, Wed, 1:30-3:00 and by appointment
Special office hour for midterm: Tues, Oct 30, 10:30 - 11:30 am		 Mon, 3 to 4pm, and Fri, 1 to 3pm

Syllabus, resources and material from class lectures and discussions

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

Instructions for R and R Commander

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

Practice Exams and Exam Keys

Homework Solutions, posted after they are due

  • Assignment #1, Due Mon, Oct 8
  • Assignment #2, Due Mon, Oct 15
  • Assignment #3, Due Mon, Oct 22
  • Assignment #4, Due Mon, Oct 29
  • Assignment #5, Due Mon, Nov 5
  • Assignment #6, Due Wed, Nov 14
  • Assignment #7, Due Mon, Nov 19
  • Part 1 of Assignment #8, Assigned Mon, Nov 19, Due Wed, Nov 28
  • Part 2 of Assignment #8 for 110 Students, Assigned Wed, Nov 21, Due Wed, Nov 28
  • Part 2 of Assignment #8 for 201 Students, Assigned Wed, Nov 21, Due Wed, Nov 28
  • Assignment #9, Due Wed, Dec 5

    •  

    Homework assignments:

     
    Date Assigned Date Due Assignment Sections covered and skipped; other topics covered
    Mon Oct 1 Mon Oct 8 Chapter 1: #12, 13, 29, 30 Overview of Regression
    Oct 1 Disc. No homework Review of introductory statistics
    Wed Oct 3 Mon Oct 8 Chapter 1: #2, 5, 6, 11, 18 Chapter 1
    Mon Oct 8 Mon Oct 15 Chapter 1: #27 (use R or R Commander); Chapter 2: #9, 10, 28ab Sections 2.1, 2.2, 2.4; Skip 2.3
    Oct 8 Disc. No homework Introduction to R and R Commander
    Wed Oct 10 Mon Oct 15 Chapter 2: #12, 27, 29bde (not parts a, c) Sections 2.5, 2.7, 2.9, 2.10; Skip 2.6, 2.11; Do 2.8 with Ch. 3
    Mon Oct 15 Mon Oct 22 Chapter 3: #1, 18, 19, 20 Sections 3.1 to 3.4, 3.8, 3.9
    Oct 15 Disc. No homework Review of some basic statistics, t, chi-square and F distributions
    Wed Oct 17 Mon Oct 22 Chapter 2: #56a, 57; Chapter 3: #15, 23 Sections 2.8, 3.7; Skip 3.5, 3.6, 3.10; Read 3.11 on your own; Skip Ch 4
    Mon Oct 22 Mon Oct 29 Chapter 5: #3, 6, 8ab, 17a, 30, 31, and show that the hat matrix H is idempotent Sections 5.8 to 5.13
    Oct 22 Disc. Not due Chapter 5: #1, 2 (Practice only!) Solutions Sections 5.1 to 5.7 (Review of matrices)
    Wed Oct 24 Mon Oct 29 Chapter 6: #1, 15ab*c, 16a, 25; *For 15b do the scatterplot matrix but not the correlation matix.Data example and Sections 6.1 to 6.5
    Mon Oct 29 Mon Nov 5 Assignment for Oct 29 and UCD.txt, Data for Homework #5 Part of Section 4.1; Sections 6.6, 6.7; Read 6.9 on your own
    Oct 29 Disc. No homework Q&A for midterm exam
    Wed Oct 31 Midterm exam - no assignment Midterm exam
    Mon Nov 5 Wed Nov 14 Chapter 7: #1, 5, 6 28b
    Data from Exercise 6.15, for #7.5 and 7.6    		 Parts of Section 6.8; Sections 7.1 to 7.3; Skip 7.4, 7.5
    Nov 5 Disc. No homework Go over midterm, more instruction in R, Q&A
    Wed Nov 7 Wed Nov 14 Chapter 7: #22, Chapter 8: #21, 16abc, then repeat 16abc using coding in formula 8.44 (page 323)
    Data for 8.16, including headers and a column with "Major, yes or no" as a Factor (tab separators)     		Sections 7.6, 8.3 and 8.4
    Mon Nov 12 Holiday
    Nov 12 Disc. Holiday
    Wed Nov 14 Mon Nov 19 Chapter 8: #4abeg, 17, 18, 20
    Data from Exercise 1.27, used for Exercise 8.4; See previous homework (8.16) for data for 8.20    		 Sections 8.1, 8.2 and 8.5
    Mon Nov 19 Wed Nov 28Assignment for Nov 19 and Data from Exercise 6.15 Parts of Sections 9.3, 9.4; Read 9.1, 9.2
    Nov 19 Disc. No homework Model building using R
    Wed Nov 21 Wed Nov 28Assignment for 110 Students for Nov 21 and Data for 110 students
    Assignment for 201 Students for Nov 21 and Data for 201 students     		Sections 10.2 to 10.4
    Mon Nov 26 Wed Dec 5 Assignment for Nov 26; choose Student0405.txt with tab separators or student0405.txt with comma separators One-way analysis of variance
    Nov 26 Disc. No homework Two-sample t-test using the ANOVA framework
    Wed Nov 28 Wed Dec 5 Problems S4.10 to S4.14 in the "Utts Heckard TwoWayAnova" chapter Two factor ANOVA
    Mon Dec 3 Wed Dec 5 Assignment for Dec 3 Random effects, randomized block design, nested effects, repeated measures
    Dec 3 Disc. No homework ANOVA using R; Q&A
    Wed Dec 5 No homework Sums of squares for unbalanced ANOVA; more about random effects
    Wed Dec 12 Final Exam, 8-10am