Daily Notes for MSTI 130
Spring 2006
Dr. Kris Green
TR 11:00 – 12:20, K059
Spring 2006
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
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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
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Day 03 – Thurs. 01/19
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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
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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
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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
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Class 06 – Tues. 01/31
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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
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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
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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
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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
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Class 10 – Tues. 02/14
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Example 4B3 discussion (10 min)
Exploration 4B (20 min)
Memo 4 in class (30 min)
Homework 04 questions (20 min)
Spring 2006
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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
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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
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Class 13
• Midterm Exam
Spring 2006
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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
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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
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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
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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
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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
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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
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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
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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
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Class 22 – Thurs. 04/06
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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
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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
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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
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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
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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
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