Spring 2006

Daily Notes for MSTI 130

Spring 2006 Dr. Kris Green TR 11:00 – 12:20, K059 MSTI 130-04 1

Day 01 – Thurs. 01/12

• Cancelled – Joint Math Meetings in San Antonio • Posted the announcement below: –

Mon, Jan 09, 2006 -- Missing First Class

Due to a conference, Dr. Green will be out of town during the first class meeting of MST 130 (section 4). Thus, class on Thursday (11-12:20) is cancelled. You should, however, download the syllabus (under "Course Information") and review it before class on Tuesday so that you can ask questions; there will be an online quiz about the syllabus, so be sure that you read it thoroughly. In class on Tuesday, we will begin chapter 1 of the text (available in the bookstore) so it would be good to read chapter 1 as well. Spring 2006 MSTI 130-04 2

Day 02 – Tues. 01/17

• Discuss syllabus (online, should have read) • Download and submit survey – At same time, take pictures of students in groups of 3 – Discuss proper naming of files (LastFI HW00) and point out errors as they occur • Remind about quiz 1 • Overview of unit 1, seeing the world as data • Chapter 1 – Problem Solving, Section A Why Data? Work exploration 1A in class after discussion (in small groups) of examples Spring 2006 MSTI 130-04 3

Day 03 – Thurs. 01/19

• Quiz reminders (quiz 2 due Tues.) [3] • HW 1 – memo (pg. 37-8) – due 1/26 [2] • Discuss “Beef n’ Buns” examples [40] • Complete Exploration (pg. 34-4) [25 – group; use a recorder to type notes and send to the rest of the group] • Read and discuss memo problem [20] Spring 2006 MSTI 130-04 4

Class 04 – Tues. 01/24

• Mistakes on quizzes 1 and 2 • Definitions and terms (methods of collecting data vs. types of data) • Units for numerical data • Exploration 2A • Questions about chapter one memo • Computer skills – starting up Word/Excel and screen navigation Spring 2006 MSTI 130-04 5

Class 05 – Thurs. 01/26

• Administrivia – How to get feedback on homework – Homework 2 – Download and install StatPro at home/dorm • Pull up C02 Over Easy.xls

– Examples 2B1 and 2 – Coding data and using comments in Excel • Create two spreadsheets for Cruise Line – One observational, one survey-related Spring 2006 MSTI 130-04 6

Class 06 – Tues. 01/31

• Copying and pasting into Word from Excel • Review of quiz questions • Discuss HW 01 feedback • Ex 3A3 “C03 Tots.xls” – calculate stats using Excel and StatPro • Exploration 3A using Excel Spring 2006 MSTI 130-04 7

Class 07 – Thurs. 02/02

• Algebra and means – Talk about relative vs. absolute cell refs and set up a spreadsheet allow these to be input and to measure the result fixed change and percent change in the mean salary – Using exploration 3A, make a table • Using StatPro to generate tables of statistics and explore: exploration 3B • More means and quartiles discussion: some of the HW problems? Examples?

Spring 2006 MSTI 130-04 8

Class 08 – Tues. 02/06

• In class quiz: Chapter 3 HW #4 (30 min) – turned into a class discussion/exercise • Standard deviation development (50 min) – Measuring spread – Deviations, and sum of dev = 0 – Fixing this problem with standard deviation – Degrees of freedom Spring 2006 MSTI 130-04 9

Class 09 – Thurs. 02/09

• Q&A about homework and activities • Example 4A3 (20 min) – Use Excel to compute averages, medians, standard deviations • Exploration 4A (15 min) – discussion only • Definitions (10 min) – z-scores – rules of thumb • Example 4B3 (15 min) – collected, no analysis – Sorting the data by Z-scores helps Spring 2006 MSTI 130-04 10

Class 10 – Tues. 02/14

• Example 4B3 discussion (10 min) • Exploration 4B (20 min) • Memo 4 in class (30 min) • Homework 04 questions (20 min) Spring 2006 MSTI 130-04 11

Class 11 – Thurs. 02/16

• Examples from 5A – Reading histograms (5A1) [5min] – Checking rules of thumb (5A2) [5 min] – Discuss bad histograms (5A3) [10 min] • Making histograms (C05 BeefnBuns 2) – From data [10 min] – From z-scores [15 min] • Exploration 5A and using histograms to infer about the problem context [30 min] Spring 2006 MSTI 130-04 12

Class 12 – Tues. 02/21

• Exam Review – Format of the exam and topics for the exam – Problem 1. Let’s more seriously discuss and investigate HW 4, #2 about the countries • Rating them as “average” – compared to what?

• What’s constitutes a large std. deviation?

– Problem 2. Continued analysis of the cruise ship problem (page 114) Spring 2006 MSTI 130-04 13

• Midterm Exam

Class 13

Spring 2006 MSTI 130-04 14

Class 14 – Tues. 02/28

• Return midterm • Discuss scatterplots – Independent (explanatory) and Dependent (response) – Reading them, axes, making them • Correlation – Two variables and z-scores – Matrix of correlations and strength of relationships Spring 2006 MSTI 130-04 15

Class 15 – Thurs. 03/02

• Correlation visualization exercise (Exp 6A) • Line Fitting Exercise (Exp 6B) – Put worksheet on Bb to fill in • Discussion of slope, y-intercept, making trendlines, R^2 Spring 2006 MSTI 130-04 16

Class 16 – Tues. 03/14

• Simple regression (section 7A) – Reading the equation of the line – R^2 and S_e – Diagnostic graphs (fitted vs actual, etc.) • Example 7A1, 7A2, 7A3 • HW 7 due date moved to Thursday • Quiz 7 due Thursday before class Spring 2006 MSTI 130-04 17

Class 17 – Thurs. 03/16

• Proportionality and what that means • Exploration 7A to be handed in electronically – Add in the following • Interpret y (or x) intercepts for each model • Explain quality of each model using R^2 • Explain accuracy of each model’s predictions using S_e (and compare to std. dev. Of y) Spring 2006 MSTI 130-04 18

Class 18 – 03/21

• Exploration 8A and making multiple regression models • Interpretation of the models • Adjusted R^2 • Other examples in section 8A Spring 2006 MSTI 130-04 19

Class 19 – Tues. 03/28

• More on Multiple regression • Example 8A1, 8A2, 8A3 – P-values – Adjusted R^2 – Fitted vs. Actual diagnostic graph – Residuals vs. Fitted diagnostic graph • Homework #4 – page 222 Spring 2006 MSTI 130-04 20

Class 20 – Thurs. 03/30

• Dummy Variables in Regression – Exploration 8B (page 218) – Discuss parts together (use Example 8B1 to get the models for Exploration 8B started) • If time, discuss memo 8 as an example • Homework will be the problems (1-4) on pages 221-222, due next Thursday in class; note error in problem 2 statement Spring 2006 MSTI 130-04 21

Class 21 – Tues. 04/04

• Assumptions about regression (15 min) – Anscombe data – Linearity – Randomness in the residuals • Review of regression models (15 min) • Overview of nonlinear models (50 min) – What makes them different?

– Examples (Exploration2.xls) Spring 2006 MSTI 130-04 22

Class 22 – Thurs. 04/06

• Notation for functions y = f(x) • Parameters vs. variables • Comparison of functions (10A2 and 3) • Graphing these in Excel • Shifts and scalings and reflections Exp 10B) – Notation • Power Functions (incl. recip/square/sqrt) Spring 2006 MSTI 130-04 23

Class 23 – Tues. 04/11

• Continue analyzing the shifts, scales, etc. from last Thursday’s class • Set up homework 10 (memo, pp. 273-4) • Administrivia – HW 10 due Next Tuesday – Rework of 8 due Next Thursday – HW 11 – TBA – Quiz 11 due Tuesday by 11 Spring 2006 MSTI 130-04 24

Class 24 – Thurs. 04/13

• Continue working on and discussing nonlinear fits by shifting and scaling – HW 09 (chapter 10 memo) – Calculating R^2 Spring 2006 MSTI 130-04 25

Class 25 – Tues. 04/18

• Homework 10 – due Tuesday, Apr. 25 – Problems on pp. 299-300 – Memo, pg. 301 • Overview of the semester – notes below • Interpretation of nonlinear models • Course Evaluations Spring 2006 MSTI 130-04 26

Class 25 – Thurs. 04/20

• Continue with nonlinear regression – Total change vs. Rate of change – Marginal Analysis and Parameter Analysis – Diagnostic graphs – Transformations of data to linearize (p. 285) • Multiplicative Models • Polynomial Models • Don’t worry about calculating Se and R^2 Spring 2006 MSTI 130-04 27