An Introduction to Statistical
Inference and Its Applications
with R
Michael W. Trosset
Department of Statistics
Indiana University
November 10, 2008
I of dice possess the science
and in numbers thus am skilled.
From The Story of Nala, the third book of t
INTERNET CHAPTER 4
Tools of Empirical Analysis
W
e constantly hear economistsand politiciansdisagree vehemently about the likely
consequences of various government actions. Consider the controversy over the effects
of reduced income tax rates on the amoun
1. Introduction to Data
Classifying Variables
The underlying population is just any set of objects
having associated characteristics that a researcher wishes
to identify, enumerate, or generally obtain information
about.
Any number that characterizes a po
2. Probability
1
Recommended Readings
Trosset Ch.3, Sections 3.1 3.4
If, after reading Trosset, you want another
presentation, read:
Diez et al. Ch. 2, Sections 2.1 - 2.3
Almukkhal et al. Ch. 3
2
Definitions of Probability
1. Classical definition
The clas
3. Random Variables and their
Distributions
1
Recommended Readings
Diez Ch. 2, Sections 2.4-2.5
Understanding random variables and probability
distributions is crucial. If, after reading Diez, you
are not 100% confident in the material, read
Almukkahal et
4. Some Important Distributions
12:44:19
1
Recommended Reading
Diez, Ch. 3 is very good.
Trosset, Ch. 4 - 5 covers the same material and
also provides a useful review for some of the
concepts from Section 3 in the course (Random
Variables). Trosset also s
5. Joint Distributions and
Correlation
10:40:54
1
Recommended Readings
Diez et al. Chapter 7, Section 7.1
Almukkahal et al. Chapter 9, Section 9.1 and
Chapter 12
This is a topic that is typically not covered
well in textbooks unless they are specifically
6.2 General Simplex and Phase 0 Page 1
6.2 General Simplex and Phase 0 Page 2
6.2 General Simplex and Phase 0 Page 3
6.2 General Simplex and Phase 0 Page 4
6.2 General Simplex and Phase 0 Page 5
6.2 General Simplex and Phase 0 Page 6
6.2 General Simplex a
Production Scheduling LP
Kane manufacturing has a division that produces two
models of hibachis, model A and model B. To produce
each model A hibachi requires 3 pounds of cast iron and
6 minutes of labor. To produce each model B hibachi
requires 4 pounds
6. Sampling Distributions
09:16:21
1
Recommended Readings
Almukkahal et al., Chapter 7 provides a
good, but basic, introduction. Unfortunately
the relevant readings in Diez are scattered
throughout Chapters 5 and 6 (which we will
get to).
09:16:21
2
Revie
7. Estimation
11:09:06
1
Recommended Readings
Diez et al., Chapter 4, except 4.3
(hypothesis testing) and 4.6 (power),
which are covered in the next section.
Diez et al., Chapter 5.1 5.4 except 5.2.2,
5.3.5, and 5.4.2, which are basically about
hypothes
Ch 7,
#2
Step1 :22 2
a. The outcome at the first etection (M 23. H) is M. The outceme of the 392022 etectton (H vs. L) is L. The
outcome at the third etection (t vs: M) is M, Majority rate leads to a stab-ts esteem-e since M deteats both H
and L. Giving o
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3. The mom prevalent are relationship-specific investments by two parties of a contract. the less surpius
is created from a partnership between these two parties.
7mg thrf, cfw_WMM M
INTERNET CHAPTER 3
Deficit Finance
The promises of yesterday are the taxes of today.
William Lyon Mackenzie King
I
n addition to the major taxes used by federal, provincial, and local governments, another
major source of government finance is borrowing. T