Homework Assignment 2: The Advantages of
Backwardness
36-402, Data Analysis, Spring 2011
Due 25 January 2011
Many theories of economic growth say that its easier for poor countries to
grow faster than rich countries catching up, or the advantages of backw
Homework Assignment 2: The Advantages of
Backwardness
36-402, Data Analysis, Spring 2012
Due 31 January 2012
Many theories of economic growth say that its easier for poor countries to
grow faster than rich countries catching up, or the advantages of backw
Homework Assignment 2: The Advantages of
Backwardness
36-402, Data Analysis, Spring 2013
Due at 11:59 pm on Monday, 27 January 2013
Many theories of economic growth say that its easier for poor countries to
grow faster than rich countries catching up, or
Chapter 5
The Bootstrap
We are now four chapters into a statistics class and have said basically nothing about
uncertainty. This should seem odd, and may even be disturbing if you are very attached to your p-values and saying variables have signicant effe
Exam 2: Choosing a Better History
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 15 April 2013
Instructions
Please read the problem background carefully, before beginning the data analysis. Adequate data analysis here will require you to go bey
Exam 1: Nice Demo City, But Will It Scale?
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 4 March 2013
Instructions
Please read the problem background carefully, before beginning the data analysis. Adequate data analysis here will require you t
Homework 8: How the Recent Mammals Got
Their Size Distribution
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 1 April 2013
Homeworks 4 and 6 used regression to study how the typical mass of (mammalian) species changes over evolution: on average
Homework 3: An Insuciently Random Walk
Down Wall Street
36-402, Advanced Data Analysis
Due at 11:59 pm on 4 February 2013
Instructions: Submit one PDF le containing your written
answers and all your gures and tables; the lename should include
your Andrew
Homework 6: How the Hyracotherium Got Its
Mass
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 25 February 2013
Instructions: Submit a single PDF including all your written
responses and all your gures; include your Andrew ID in the le
name. Put
Homework 11: Growth and Debt
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 29 April 2013
An important and controversial question in macroeconomics and political
economy is whether high levels of government debt causes the economy to grow
more
Homework 10: Brought to You by the Letters D,
A and G
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 22 April 2013
The le sesame.csv contains data on an experiment which sought to learn
whether regularly watching Sesame Street caused an increas
Homework 5: Its Not the Heat that Gets to
You, Its the Sustained Heat with Pollution
36-402, Advanced Data Analysis
Due at 11:59 pm on Monday, 18 February 2013
The data set chicago, in the package gamair, contains data on the relationship between air poll
Homework Assignment 7: Red Brain, Blue Brain
36-402, Advanced Data Analysis, Spring 2013
Due at 11:59 pm on Monday, 25 March 2013
The data set n90 pol.csv contains information on 90 university students who
participated in a psychological experiment design
Homework 1: Whats That Got to Do with the
Price of Condos in California?
36-402, Advanced Data Analysis, Spring 2013
Due at 11:59 pm on Monday, 21 January 2013
Problem: As a warm-up and refresher in using linear regression to explore
relationships between
Homework Assignment 4: How the North
American Mammalian Paleofauna Got a Crook
in Its Regression Line
36-402, Advanced Data Analysis, Spring 2013
Due at 11:59 pm on Monday, 11 February 2013
Turn in a single PDF le, with text and all gures, and a le name
i
12:01 Wednesday 23rd January, 2013
Chapter 3
Evaluating Statistical Models:
Error and Inference
3.1
What Are Statistical Models For? Summaries, Forecasts, Simulators
There are (at least) three levels at which we can use statistical models in data analysis
10:25 Wednesday 30th January, 2013
Chapter 1
Regression: Predicting and
Relating Quantitative Features
1.1
Statistics, Data Analysis, Regression
Statistics is the branch of mathematical engineering which designs and analyses methods for drawing reliable i
36-617: Applied Linear Models
Fall 2016
HW6 Solns
Due: 11/2/16
This assignment contains 4 questions. There are 100 total points. Partial credit will be given
where appropriate.
For this submission, where appropriate, please give me the R code you used to
36-617: Applied Linear Models
Fall 2016
HW3 Solutions
Due: 09/28/2016
This assignment contains 8 questions. There are 168 total points. Partial credit will be given
where appropriate.
For this submission, where appropriate, please give me the R code you u
Are campus convenience store items overpriced?
Comparing Carnegie Mellon campus store pricing to nearby convenience stores
Introduction
On-campus stores such as CMUs Entropy are convenient for students because of location and the fact that they accept
Uni
36-617: Applied Linear Models
Fall 2016
Homework 4
Due: 10/5/2016
Readings through 9/28/2016: Sheather Ch. 2 and 3
Readings for next week: Sheather Ch. 5 and 6
This assignment contains 4 questions. There are 91 total points. Partial credit will be
given w
36-617: Applied Linear Models
Fall 2016
HW2 Solutions
Due: 09/21/2016
This assignment contains 5 questions. There are 94 total points. Partial credit will be given
where appropriate.
For this submission, where appropriate, please give me the R code you us
36-617: Applied Linear Models
Fall 2016
Homework 6
Due: 11/2/2016
This assignment contains 4 questions. There are 100 total points. Partial credit will be
given where appropriate.
For this submission, where appropriate, please give me the R code you used
Applied Linear Models: HW6 Grading Notes
36-617
11/2/16
General comments for each problem (please read all even if you got full points):
1. It is acceptable to rely solely on EDA to make a decision about which model to fit (i.e. whether
to include type an
36-617: Applied Linear Models
Fall 2016
Homework 2
Due: 09/14/2016
This assignment contains 5 questions. There are 94 total points. Partial credit will be
given where appropriate.
For this submission, where appropriate, please give me the R code you used
Applied Linear Models: HW2 Grading Notes
36-617
9/22/16
Some general comments from grading HW1 and HW2:
Please spell-check your written answers and check for grammatical errors and clarity.
Read directions carefully to ensure you are answering exactly t
ESE304 - Introduction to Optimization (Homework #1)
Spring Semester, 2012
M. Carchidi
Problem #1 (20 points)
Doorco designs three types of doors: Standard, High Security, and Maximum
Security using two machines 1 and 2. Each door must go through both
mach
14:51 Friday 18th January, 2013
Chapter 2
The Truth about Linear
Regression
We need to say some more about how linear regression, and especially about how it
really works and how it can fail. Linear regression is important because
1. its a fairly straight
ESE304 - Introduction to Optimization (Homework #1)
Spring Semester, 2012
M. Carchidi
Problem #1 (20 points)
Doorco designs three types of doors: Standard, High Security, and Maximum
Security using two machines 1 and 2. Each door must go through both
mach