Econ 327
Practice questions for the nal exam
1. Exercises 2.4-8, 2.4-17, 2.4-19 on page 73.
2. Exercises 2.6-1, 2.6-4, 2.6-6 on page 85.
3. Find the limit of (n 1)/n)n as n .
4. Exercises 3.1-2, 3.1-8
OCTOBER 29, 2014
LECTURE 10
QUANTILES (PERCENTILES), SYMMETRIC DISTRIBUTIONS, LOGISTIC
DISTRIBUTION
1
Denition and properties
Let X be a continuously distributed random variable with a CDF FX . Suppos
OCTOBER 31, 2014
LECTURE 9
EXPECTATION OF A CONTINUOUSLY DISTRIBUTED RANDOM
VARIABLE, DISTRIBUTION FUNCTION AND CHANGE-OF-VARIABLE
TECHNIQUES
1
Expectation of a continuously distributed random variabl
NOVEMBER 3, 2014
LECTURE 11
NORMAL DISTRIBUTION
The normal distribution is the most important distribution used in statistics. As we will
discuss later in the course, many distributions that arise in
NOVEMBER 13, 2014
LECTURE 12
JOINT (BIVARIATE) DISTRIBUTIONS, MARGINAL DISTRIBUTIONS,
INDEPENDENCE
So far we have considered one random variable at a time. However, in economics we are
typically inter
NOVEMBER 24, 2014
LECTURE 14
CONDITIONAL DISTRIBUTIONS AND EXPECTATIONS
1
Conditional distributions
Recall that we previously dened the conditional probability of an event A given another event
B as
P
NOVEMBER 19, 2014
LECTURE 13
COVARIANCE AND CORRELATION
1
Expectations with bivariate distributions
In the previous lecture, we extended the concept of distributions from the one-variable scenario
to
Econ 327
Assignment 9
The due date for this assignment is Thursday November 20.
1. Exercises 4.1-1. 4.1-2, 4.1-3, 4.1-4 on pages 133 of Hogg, Tanis and Zimmerman.
2. Let X and Y be two random variable
Econ 327
Assignment 10
The due date for this assignment is Thursday November 27.
1. Exercises 4.2-1, 4.2-2, 4.2-6, 4.2-7 on page 139 of Hogg, Tanis and Zimmerman.
2. Exercises 4.4-1, 4.4-2, 4.4-4 on p
Anton Laptiev
ECON 327: Solution to Problem Set #6
November 5, 2014
Problem 2.3-13
The probability of the event cfw_rst three answers are incorrect, forth answer is correct given the random
selection
Anton Laptiev
ECON 327: Solution to Problem Set #7
November 20, 2014
Problem 3.1-3
a) We have uniformly distributed random variable with support (0,10). Therefore, the pdf of X is
1/10, with 0 < X < 1
Anton Laptiev
ECON 327: Solution to Problem Set #8
November 23, 2014
Problem 3.3-1
a) P (0.53 < Z 2.06) = (2.06) (0.53) = 0.98030 0.70194 = 0.27836
b) P (0.79 Z < 1.52) = (1.52) (0.79) = 0.93574 0.214
OCTOBER 22, 2014
LECTURE 8
CONTINUOUS RANDOM VARIABLES AND PROBABILITY DENSITY
FUNCTIONS (PDFs), UNIFORM DISTRIBUTION
The theory of discrete distributions and random variables described in previous le
OCTOBER 13, 2014
LECTURE 7
EXAMPLES OF DISCRETE DISTRIBUTIONS
In this lecture, we consider some common examples of families of discrete distributions:
collections of PMFs described by one or more para
Answer all three questions below in a word processed document.
1. What are the differences between the neoclassical and structural evolutionary
theories of economic growth? Articulate each theory clea
GENERAL PURPOSE TECHNOLOGIES IN THEORY, APPLICATIONS
AND CONTROVERSY: A REVIEW
by
Clifford Bekar, Kenneth Carlaw, Richard Lipsey
Contacts
Clifford Bekar: [email protected]
Kenneth Carlaw:Kenneth.Carlaw
Assignment #2 based on Ch.3 and Ch.4
Draw a diagram similar to the one for Solow Model for Harrod _Domar Model
clearly outlining the difference.
What is the signifi
Assignment #3 based on Ch.8
What is Creative destruction?
What are the factors that induce firms to invest in R & D?
What are the pros and cons of the patent
Anton Laptiev
ECON 327: Solution to Problem Set #9
November 24, 2014
Problem 4.1-1
a)
b)
f (x, y) = c 33 = c =
1
33
f (x, y) = c 24 = c =
1
24 .
c) We have three xs for each y=cfw_0,1,2,3,4,5. Overall
Anton Laptiev
ECON 327: Solution to Problem Set #11
December 1, 2014
Problem 4.3-6
a)
fX (x) = P (X = x) =
f (x, y) = P (X = 500) =
y
P (Y = 500) =
P (X = 500, y) = 0.4
y
P (x, Y = 500) = 0.35
x
P (Y
Chapter 9
The Cutting Edge of Technology
Note: Special icons in the margin identify problems requiring a computer or calculator
requiring calculus .
and those
Solutions to Problems
1.
The annual grow
Chapter 8
The Role of Technology in Growth
Note: Special icons in the margin identify problems requiring a computer or calculator
.
Solutions to Problems
1.
a.
Nonrival. Nonexcludable. Ones consumpti
Chapter 4
Population and Economic Growth
Note: Special icons in the margin identify problems requiring a computer or calculator
requiring calculus .
and those
Solutions to Problems
1.
To find the ave
Chapter 3
Physical Capital
Note: Special icons in the margin identify problems requiring a computer or calculator
requiring calculus .
and those
Solutions to Problems
1.
The key characteristics of ph
SEPTEMBER 3, 2014
LECTURE 2
CONDITIONAL PROBABILITY, INDEPENDENCE, BAYES RULE
1
Conditional probability
The probability model is concerned with evaluating the likeliness of events. However often
when
SEPTEMBER 15, 2014
LECTURE 1
BASICS OF PROBABILITY
1
Uncertainty or why we need probability and statistics
Many important economic models are concerned with decision making under uncertainty. For
exam
Main TVM functions of a BAII Plus
Financial Calculator
The BAII Plus calculator can be used to perform calculations for problems involving
compound interest and different types of annuities. (Note: th
TECHNICAL BRIEFING
THIS
MONTH
ACCOUNTING
CHANGES
Given that we are now two-thirds of the way through the year, it is
a good time to check the status of our New Years resolutions made
many months ago,
CHAPTER 2
TIME VALUE OF MONEY
OVERVIEW
A dollar in the hand today is worth more than
a dollar to be received in the future because,
if you had it now, you could invest that dollar
and earn interest. O
6/15/2017
Insurance Viewpoint of Buyer and Viewpoint of Insurance Companies | Economics
Insurance
Viewpoint of Buyer
and Viewpoint of
Insurance
Companies |
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Time Value of Money - ANALYZING ANNUITY CASH FLOWS
Questions
LG1
5-1 How can you add a cash flow in year two and a cash flow in year four in year seven?
To add cash flows, they need to be moved to the