spring 2006msti 130-041 daily notes for msti 130 spring 2006 dr. kris green tr 11:00 – 12:20, k059
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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