Course ST305: Statistical Methods
Time MTWHF 9:10 - 10:00
Place 1108 SAS Hall
Course Description ST 305 Course Description Spring 2010
   
Instructor Spencer Muse
Email muse@stat.ncsu.edu
Telephone 515-1948 (but email is usually faster and more reliable)
Office 1) 5126 SAS Hall (MWF, Main Campus)
2) 1515 Partners II (TH, Centennial Campus)
Office hours 5126 SAS Hall by appointment.
Always feel free to drop by unannounced!
 
TAs Courtney Sojda: SAS labs; Odd-numbered HW sets

Mingzhu Hu: Even-numbered HW sets
Email cmsojda@ncsu.edu mhu4@ncsu.edu
Website www4.ncsu.edu/~cmsojda
Telephone None: please contact Courtney and Mingzhu during office hours or via email
Office Statistics Tutorial Center, 1101 SAS Hall
Office hours Courtney: Tue. 11:30 - 1:00, Wed. 3:00 - 4:30

Mingzhu: Fri. 1:30 - 2:30

Course News

  • 4/28: Final Exam Guide posted
  • 4/20: Extra Credit Assigment posted; Due 5/3.
  • 4/20: HW 9 posted. Due 4/28.
  • 4/13: Labs 9 and 10 on April 22, 28.
  • 4/13: No class on Friday 4/23 or 4/30.
  • 4/13: ST 305 Sample Exam links are now correct
  • 4/4: Lab 7 on Friday, Apr. 9
  • 4/4: Note: The posted notes for Ch. 10 had some typos. Grab a fresh copy.
  • 3/30: Data analysis project due date changed to April 6.
  • 3/30: HW 7 and 8 posted, Due Fri. Apr. 9, Wed. Apr. 14
  • 3/23: Lab 6 on Thursday, Mar. 25
  • 3/11: HW 6 Posted. Due Wed. Mar. 24
  • 3/11: Data Analysis Project 2, Due Apr. 2
  • 3/8: Lab 5 on Thursday, Mar 11
  • 3/1: HW 5 Posted. Due Thu. Mar. 11.
  • 2/21: Redone Data Analysis Assignments due Friday morning. Two very good samples have been posted to help you with the rewrites.
  • 2/16: NO CLASS this Thursday or Friday. This will make up for some weeks where we have 5 lectures and no SAS labs.
  • 2/16: HW 4 posted. Due Tue 2/23.
  • 2/12: What kind of experimental design is this?
  • 2/8: Lab 4 on Friday Feb 12
  • 2/4: HW 3 Posted. Due Fri. Feb 11 12
  • 2/4: EXAM 2 DATE CHANGED: Now Feb 26
  • 2/1: Because of snow day, SAS Lab 3 on Tuesday, exams on Wednesday.
  • 1/27: SAS Lab 3 Monday Feb. 1
  • 1/27: New TA info added. Mingzhu will grade the odd HW sets; Courtney will grade the even ones. Both will hold office hours and can help you with any of the material.
  • 1/22: HW 2 posted. Due Thu. Jan 28
  • 1/22: Old ST 305 Exam 1 posted
  • 1/20: HW1 due date changed to Mon. 1/25
  • 1/19: Data Analysis Project Description/Assignment 1 posted. Due Fri. Feb. 5.
  • 1/12: Read the full course description.
  • 1/12: HW1 Posted. Due Fri. Jan. 22.
  • 1/12: First two SAS Lab dates set: Tuesday Jan. 19, Monday Jan. 25

Exam dates and coverage- TENTATIVE

Watch for some of these notes to be revised. I will indicate if they are, and place a note in the Course News column.

Homework Assignments

Computer Sessions/Project

Exam 1: Fri. Jan. 29

  • Chapter 1: pdf
  • Chapter 2 (part 1): pdf
  • Chapter 2 (part 2): pdf
  • Note: Exam 1 will cover only sections 1-4 of Chapter 2, not sections 5 or 6.

Exam 2: Fri. Feb. 19 Feb. 26

  • Chapter 3: pdf
  • Chapter 4: pdf

Exam 3: Fri. Mar. 26

  • Chapter 5: pdf
  • Chapter 6: pdf

Exam 4: Fri. Apr. 16

  • Chapter 7.1 pdf
  • Chapter 7.2 pdf
  • Chapter 10 pdf
  • Chapter 11 pdf

Final: Mon. May 10 8-11am

  • Chapter 12.1 pdf
  • Chapter 12.2 pdf
  • Chapter 13 pdf

Final Exam Review Guide

-----------------------------------------

Sample Exams (MS Word)

ST 305

ST 301

ST 302

Problems in each chapter are numbered consecutively in the form Chap.Prob (eg, 1.1, 1.2, 1.3., etc). Some numbered problems are found in the chapters themselves in boxes with the heading "Use Your Knowledge", others are clustered at the section ends. Show all your work or you risk getting no credit!

1. Due Fri. Jan. 22 Mon. Jan. 25 Solutions

  • Ch 1.1: 3, 4, 5, 6, 7, 8, 9, 17, 21, 22, 25
  • Ch 1.2: 56, 60, 62, 65, 67, 80
  • Ch 1.3: 108, 112, 120, 122, 126, 128, 132, 136

2. Due Thu. Jan. 28 Solutions

  • Ch 2.1: 6, 10, 14, 22
  • Ch 2.2: 29, 30, 41
  • Ch 2.3: 58, 63, 78

3. Due Fri. Feb 11 12Solutions

  • Ch 3.1: 17, 19, 23, 24, 25, 26ac
  • Ch 3.2: 52, 54, 71, 74
  • Ch. 3.3: 82, 83, 88

4. Due Tue. Feb 23 Solutions

  • Ch 4.1: 6
  • Ch 4.2: 19, 20, 21, 27, 28, 34, 35
  • Ch 4.3: 51, 58, 60
  • Ch 4.4: 72, 73, 79, 89, 90
  • Ch 4.5: 101, 102, 106, 127, 146

5. Due Thu. Mar. 11Solutions

  • Ch 5.1:11, 12, 13, 15, 21, 22, 23
  • Ch 5.2: 42, 44, 50, 51, 52

6. Due Wed. Mar. 24Solutions

  • Ch 6.1:10, 13, 14, 16, 17, 23, 24, 26, 29, 33
  • Ch 6.2: 52, 53, 54, 57, 58, 60, 68, 73
  • Ch 6.3: 86, 89, 92

7. Due Fri. Apr. 9Solutions

  • Ch 7.1: 15, 20, 21, 24, 24, 34, 35
  • Ch 7.2: 61, 62, 63, 69, 70, 80, 83

8. Due Wed. Apr. 14 Solutions

  • Ch 10: 6, 7, 12, 13, 33, 34, 39, 40, 41, 47, 48, 49
  • Ch 11: 11,12

9. Due Wed. Apr. 28 Solutions

  • Ch 12: 2, 3, 7, 9, 13, 27

10. Not graded, but solutions WILL be posted

Ch 13: 2, 3, 5, 9, 16, 19 Solutions

Our computer sessions will use the SAS software system. There are a number of good online SAS resources available. For beginners, I happen to like the tutorials found at the UCLA Statistical Computing site. The NCSU Dept. of Statistics also offers some SAS resources.

We will also demonstrate the web-based software package StatCrunch to help with graphics and calculations.

A semester-long data analysis project will use the lab skills.

Sample Report 1

Sample Report 2

  1. Overview/Assignment 1. Due Feb. 5
  2. Asisgnment 2. Due April 6
  3. Extra Credit Assignment. Due May 3, 5pm.

Lab Sessions

Date Lab
Jan. 19 Introduction to SAS

grades.txt
Jan. 25 Summarizing Data

McDonalds.txt
Feb. 1 Scatterplots, Correlation, Least Squares

IceCream.txt
Feb. 12 Random Samples and Simulation
Mar. 11 Z-based CIs and Tests
Mar. 25 1- and 2-sample t Procedures
Apr. 9 Inference for Simple Linear Regression
Apr. 14 Multiple Regression
Apr. 22 One-Way ANOVA
Apr. 28 Two-Way ANOVA