STAT 23400: Win 2017
HW#7 (Solutions)
c 2017 Linda Collins.
For your personal use only. Do not distribute or share!
Sharing this document in print, email, or online (or any other medium), in whole or in part violates
the University of Chicago College Poli
Preliminaries Exercises
P.1 For each of the following research questions identify the observational units and variable(s).
a) An article in a 2006 issue of the Journal of Behavioral Decision Making reports on a
study involving 47 undergraduate students at
STAT 23400 HW #2 R Reference
CAUTION:
The original data file was IPS_1_43.csv, but a better file is now on Canvas: IPS_1_43_Cleaned.csv.
We recoded Gender from (1, 2) to (F, M) for your convenience.
mydata <- read.file("filename.csv")
# Read in .csv file
Pruim 1.2.5
(a)
histogram(~ births, xlab="Number of U.S. births each day in 1978")
(b)
xyplot(births ~ dayofyear, xlab="1978 day of year", ylab="Number of
U.S. births each day in 1978")
There seem to be days when there are many fewer births and days when
1.3
Here is a histogram of the distribution of last digits. The majority of remainders are on
the low side (like between 0 and 4) so it is possible that there is some bias or error
introduced in taking self-reported pulse rates. One possibility is that pe
Statistical Models/Method-1 STAT23400
Lecture 09
Coverage:
I
Review (2010 Midterm Problem)
I
3.3 Higher Moments and mgf
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3.4 Normal Distribution
Multivariate Continuos Random Variables
I
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3.7.4 mgf and Independence
Review: Using cdf to Compute Probabili
Statistical Models/Method-1 STAT23400
Lecture 07
Coverage:
I
I
2.6.3 Linear Combination of Random Variable
2.7 More Discrete Random Variable Examples
I
I
I
Hypergeometric Distribution
Poisson Distribution
Chapter Review (homework & pre-class quiz)
Linear
Statistical Models/Method-1 STAT23400
Lecture 2
Coverage:
I 1.2 Univariate Data
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I
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1.3 Multivariate Data
I
I
I
1.2.3. More comment on mean and median
1.2.4. Variance and Standard Deviation
Scatter plot
Simpsons paradox and two-way table
Chapter Review.
Statistical Models/Method-1 STAT23400
Lecture 09
Coverage:
I
Transforming Random Variables (cdf, expectation, moment
generation functions)
I
3.4 Normal Distribution
I
3.6 Q-Q plot
Transforming Random Variables
I
Transforming Random Variables
I
CDF method
Statistical Models/Method-1 STAT23400
Lecture 06
Coverage:
I
I
Review of Univariate Discrete Random Variable (handout)
2.6 Joint Distribution of Random Variables
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I
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Marginal and Conditional Distribution
Independence of Random Variables
Covariance
I
Man
Statistical Models/Method-1 STAT23400
Lecture 05
Coverage:
I
Review: Discrete Random Variable
I
I
2.4 Hypothesis Tests and p-Values
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I
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Bernoulli(p), Bin(n, p), Geo(p), NBinom(s, p)
2.4.1 Binomial Test
2.4.2 Types of Error and Statistical Power
2.5 Disc
Statistical Models/Method-1 STAT23400
Lecture 03
Coverage:
I
Review of Lecture 02
I
2.1 Basic Ideas of Probability
2.2 Counting Formulas
I
I
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I
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Multiplication Rule
Number of Permutations
Number of Combinations = Binomial Coefficient
R demonstration
Rev
STAT 23400: Autumn 2015
Homework #5 (Solutions)
c 2015 Linda Collins. For your personal use only. Do not distribute or share!
Sharing this document in print or online, in part or in whole is a violation of the University of
Chicago College Policy on Acade
HW #8 (1): The mpg Data I
mpgData <- read.csv("mpg.csv")
str(mpgData)
'data.frame': 20 obs. of 1 variable:
$ mpg: num 41.5 50.7 36.6 37.3 34.2 45 48 43.2 47.7 42.2 .
sigma <- 3.5
favstats(~mpg, data = mpgData)
min
Q1 median
Q3 max mean
sd n missing
34.2 4
STAT 23400: Autumn 2015
Homework #8 (Solutions)
c
2015
Linda Collins. For your personal use only. Do not distribute or share!
Sharing this document in print or online, in part or in whole is a violation of the University of
Chicago College Policy on Acade
STAT 23400: Autumn 2015
Homework #6
Submit Online Wednesday, Nov 4 by 11:59pm
All topics on this homework are relevant for Exam #2
HW Readings in IPS textbook
5.1 The Sampling Distribution of a Sample Mean
5.2 Sampling Distributions for Counts and Proport
STAT 23400: Autumn 2015
HW #4 (Solutons)
c
2015
Linda Collins. For your personal use only. Do not distribute or share!
Sharing this document in print or online, in part or in whole is a violation of the University of
Chicago College Policy on Academic Int
STAT 23400: Spring 2017
Homework #3
Submit Online Friday, April 14 by 11:59pm
Yes, the Canvas submission system stays open a bit after 11:59am in case of submission problems
right at the due time. However, late homework is not accepted (next day, several
STAT 23400: Spring 2017
Homework #4
Submit Online Friday, April 21 by 11:59pm
Yes, the Canvas submission system stays open a bit after 11:59am in case of submission problems
right at the due time. However, late homework is not accepted (next day, several
STAT 23400: Spring 2017
Homework #2
Submit Online (at most 2 pdf files) Friday, April 7 by 11:59pm
See Canvas for tips on scanning handwritten work and formatting exercises requiring R output.
HW #2 Readings = Sections in both IPS* and the Math Supplement
LINDA BRANT COLLINS
UNIVERSITY OF CHICAGO
D E PA R T M E N T O F S TAT I S T I C S
MARCH 28, 2017
M AT H E M AT I C A L
E X P L O R AT I O N S
F O R I N T RO D U C TO RY
S TAT I S T I C S
A S U P P L E M E N T T O A C C O M PA N Y
I N T R O D U C T I O N