Spring 2006 MSTI 130-04 1

Daily Notes for MSTI 130

Spring 2006

Dr. Kris Green

TR 11:00 – 12:20, K059

Spring 2006 MSTI 130-04 2

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 3

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 4

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 5

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 6

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 7

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 8

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 9

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 10

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 11

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 12

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 13

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 14

Class 13

• Midterm Exam

Spring 2006 MSTI 130-04 15

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 16

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 17

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 18

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 19

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 20

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 21

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 22

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 23

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 24

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 25

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 26

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 27

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