Homework 6 KEY
36-202 Spring 2015
1. Case Study of Two-Way ANOVA: Memory and Age
A question of interest is why older people often seem not to remember things as well as younger people. Perhaps
they dont pay attention; or perhaps they dont process the mate
Syllabus
STA 36-202 Statistical Methods
Spring 2015
Course Description
This course builds on the principles and methods of statistical reasoning that were developed in
36-201 (or an equivalent first-semester intro statistics course), and will cover regres
Practice Exam 1 KEY
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 1
Lecture 25 (exam 2 covers through this lecture) 36-202
Mon, Mar. 23 Spring 2015
Finishing ANCOVA (Analysis of Co-Variance)
Example: (Two-way ANCOVA)*
* This example is originally from Neter, et 211, Applied Linear Statistical Models,
as reproduced on pp.
Practice Exam 1
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 10:30
Lecture 23 36-202
Wed, Mar. 18 Spring 2015
ANCOVA (Analysis of Co-Variance)
In the previous two lectures, we saw repeated measures ANOVA (an ANOVA model
where an explanatory treatment is repeated on the same group), which is a study design
that allows the
Practice Exam 2
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 10:30
Lecture 6 36-202
Mon, Jan. 26 Spring 2015
Finishing Simple Linear Regression [SLR]:
Modeling the Relationship Between 2 Quantitative Variables
[Reserve Material References:
Chapter 12 of Statistics By Agresti and Franklin;
Chapter 10 of Introduction to th
Homework 1
36-202 Spring 2015
Due: Wednesday, January 21, at the beginning of lecture.
Instructions:
1. Write up your solutions on separate paper, with your name on all pages.
2. The work and words that you submit must be your own.
1. Print out the homewo
Homework 5
36-202 Spring 2015
Due: Wednesday, March 18, at the beginning of lecture.
Instructions:
1. Write up your solutions on separate paper, with your name on all pages.
2. The work and words that you submit must be your own.
Print out the homework 5
36-202
Spring 2015
Lecture 8
Fri, Jan. 30
Multiple Linear Regression
[Reserve Material References:
Chapter 13 of Statistics By Agresti and Franklin;
Chapter ll of Introduction to the Practice of Statistics by Moore, McCabe]
Chapter 30 of Stats: Data and M
36-202
Spring 2015
Lecture 12
Mon, Feb. 9
(Finishing) Categorical Variables in Regression
[Reserve Material Reference:
Section 13.5, How Can Regression Include Categorical Predictors, of Statistics by Agresti and Franklin)]
And
Modeling Interaction
[Reser
Lecture 22 36-202
Mon, Mar. 16 Spring 2015
Finishing Two-Factor Mixed (within-between subiects) ANOVA
Example: Comparing Two Advertising Campaigns for Athletic Shoes.*
* This example comes from chapter 29 of Applied Linear Statistical Models by Netter, et
Practice Exam 2 KEY
STA 36-202 Statistical Methods
Spring 2015
Remark: This practice exam is longer than the real exam will be.
Printed Name _
Andrew I.D. _
Lab Section:
Section A
(Th. 9:30)
Date:
Section B
(Th. 12:30)
Section C
(Th. 3:30)
Section D
(F. 1
Lecture 14 36-202
Fri, Feb. 13 Spring 2015
Continuing One-Way ANOVA (Analysis of Variance)
[Reserve Material Reference:
Chapter 14 of Statistics by Agresti and Franklin;
Chapter 12 of Introduction to the Practice of Statistics by Moore and McCabe;
Chapter
Homework 4 KEY
36-202 Spring 2015
Grading: Points as indicated, plus 2 pts for stapling/neatness.
Print out the homework 4 coversheet from Blackboard, fill it out (print your name and your Andrew ID and circle
your lab section), and staple it to the front
Lab 1
Review: Exploratory Data Analysis and Inference
36-202
Spring 2015
Objectives
1.
To review EDA (Exploratory Data Analysis), and to highlight the value of EDA as a
first-step tool in the process of data discovery.
2.
To review some basic one-variable
Lecture 3 36-202
Fri, Jan. 16 Spring 2015
(Finishing) Review of EDA for two variable relationships;
And
Review of One-Variable Inference
Last time:
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36-202
Lecture 7
Spnn92015
Wed, Jan. 28
Non-Linear Relationships
[Reserve Material References:
The Beyond the basics: Nonlinear regression section in Chapter 10 of Introduction to the Practice of Statistics by Moore, McCabe;
Section 2.6, Transforming Rela
Lab 8
Repeated Measures (within-subjects) ANOVA
(lecture references: Lecture 19, 20, 21, 22)
36-202
Spring 2015
Objectives
Learn how to fit the Repeated Measures ANOVA model to data, verify that the model
assumptions are met, and interpret the results.
Pa
Lab 9
Simple Binary Logistic Regression
(lecture reference: 26, 27, 28)
36-202
Spring 2015
Objectives
To practice fitting the simple binary logistic regression models to data using software, and to
interpret the results.
Background
In lecture 26 through 2
Lab 5
Modeling Interaction
36-202
Spring 2015
Objective
Gain practice with the Interaction regression model.
Background:
In lecture 10, we used executive salary as the example of introducing a categorical variable
(gender) into a regression model. But in