ECON2040 A02: Quantitative Methods in Economics
Department of Economics
University of Manitoba
Fall 2015
Instructor: Dr. Hai Feng Chen
Office hours: Tuesday and Thursday 1:40-2:40 P.M.
Office: Room 645 Fletcher Argue Bldg
Email: chenhf@umanitoba.ca
Teachi
Midterm Formula Sheets 2040
Probability Theory
P nx n(n 1)(n 2) .(n x 1)
C nx
n!
(n x)!
n!
x! (n x)!
0 P(A) 1
P(A) P(O i )
P(S) 1
A
P(A) 1 P(A)
P(A B)
P(A | B)
P(A B) P(A) P(B) P(A B)
number of outcomes satisfying A and B
total number of elementary out
Assignment One ECON 2040 A01
Due Date May 11, 2016, Wednesday
Important Revision about Due Date of Assignment One: Due to the conflict time with midterm, we
move the deadline of the assignment to May 18th. On May 18th , the marker will come to the class
r
Marking Guide: Question 3.2, 3.3 and 4.1 will be marked. The total mark is 20. If any question
other than question 5 is not done, 2 marks will be deducted. 5 marks will be deducted if 5 is
not done.
Question 2.
2. The following table shows that the econom
University of Manitoba
Econ 2040
Midterm Example Summer 2016
Session:
Student Number:
Student Name:
Please note the following instructions before you begin the test:
There are two sections to this test.
Section A consists of 30 multiple choice questions w
University of Manitoba
Econ 2040
Midterm Version A Fall 2015
Oct. 29, Thursday 7:00-9:00 Pm
Location: 200 Fletcher Argue Building
Session:
Student Number:
Student Name:
Please note the following instructions before you begin the test:
There are two sectio
Chapter 4: Application Exercise
A researcher suspected that the number of between meals snacks eaten by students in a day
during final examinations might depend on the number of tests a student had to take on that day.
The table shows the joint probabilit
Econ 2040
Class Review
Chapter 2: Application Exercises
A random sample of data has a mean of 75 and a
variance of 25.
a. Use Chebyshevs theorem to determine the percent
of observations between 65 and 85
b. If the data is mounded, use the empirical rule t
Expectation
The mean, expected value, or expectation of a random variable X is written as E(X) or X . If we observe N random values of X, then the mean of the
N values will be approximately equal to E(X) for large N . The expectation is
defined differentl
Exam
Name_
Midterm 2 Version A Econ 2040 A02 2016
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the
question.
There are 25 questions all together. Some questions are more difficult than others, please budget your
Assignment One ECON 2040 A02
Due Date Oct. 28, 2016, Friday
Marker:
Please only mark the ones with answer including section One 1.a; 1.b; 2.a; 2.b;2.c ; Section Two,
5.19. and Section Three, 2.a and 2.c. The total mark should be 30.
If the steps to get fi
Chapter 5
5.a. Let X be a continuous random variable with uniform distribution between 2 and 12,
what is the probability density function for X?
What is the cumulative probability density function for X?
What is the probability that X is less than 10?
Wha
Student Number:
University of Manitoba
Econ 2040
Final Exam, Fall 2015
Dec. 11, Friday, 9:00 am-12:00 pm
Location: FR Kennedy Brown Gym
Session:
Student Number:
Student Name:
Ensure that the above information is clearly written on your questionnaire. Plea
1. Suppose you roll a pair of dice. Let A be the event that you roll an even number. Let B be the
event that you roll an odd number. Which of the following statements is true?
A) The events A and B are not collectively exhaustive.
B) The intersection of A
Exam
Name_ Student Number
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers
the question.
1)
Which of the following is an example of a random experiment?
1)
_
A)
Marketing budgets a 10% increase in advertising.
B)
A
ECON 2040 Fall 2016
Midterm Preparation Material
Section One: Basics
1. Assuming that daily stock market returns are independent random event, the probability of stock return
going up each day is 60% and the probability of stock return drop is 40%. There
Assignment 2, Econ 2040, A02, 2016 Fall
1. Explain the estimation process.
2. Explain the rational for hypothesis testing. How estimation is different from
hypothesis testing?
3.
A fitness club claims that the average age of its members is 42. Assume that
2. a. the expected value of stock A and B return is the mean of the A and B
A = AP ( A ) =0.40.15+0.50.09+0.10.06=0.111
B = BP ( B )=0.48 +0.510 + 0.112 =0.094
b. the variance of the stock A and B
Var ( A )= 2A =E ( A )2 2A= ( 0.15 )20.4 + ( 0.09 )20.5+
Marking Guide: Question 3.2, 3.3 and 4.1 will be marked. The total mark is 20. If any question
other than question 5 is not done, 2 marks will be deducted. 5 marks will be deducted if 5 is
not done.
Question 2.
2. The following table shows that the econom
ECON 1010: Introduction to
Microeconomic Principles
Lecture 21: Perfect Competition in the Long Run
Janelle Mann, PhD, MSc, BSc
Assistant Professor
Department of Economics
Distribution (electronic or hard copy) of
this document in part or in full is stric
Analyze Task Environment of Costco gasoline
Chuting Xiao
#7718577
Course No.: GMGT 2060
Section: A01
Sean MacDonald MPA
Date: Mar.9.2014
Costco Wholesale Corporation began operations in 1983 in Seattle,
Washington. In January 1997, after the spin-off of m
ECON 1010: Introduction to
Microeconomic Principles
Lecture 20: Perfect Competition in the Short Run Part II
&
Perfect Competition in the Long Run
Janelle Mann, PhD, MSc, BSc
Assistant Professor
Department of Economics
Distribution (electronic or hard cop
ECON 1010 INTRODUCTION TO MICROECONOMICS
PRACTICE FINAL EXAMINATION
Do open the exam
booklet until you are
instructed to do so.
This three (3) hour final examination is closed book and is to be completed individually. You are allowed
to bring a pencil, pe
ECON 1010: Introduction to
Microeconomic Principles
Lecture 19: Perfect Competition in the Short Run
Janelle Mann, PhD, MSc, BSc
Assistant Professor
Department of Economics
Distribution (electronic or hard copy) of
this document in part or in full is stri
Is the financial analyst in fact a
Is the financial analyst in fact a
dummy?*
dummy?*
Solving Question 5.97 of
Solving Question 5.97 of
Newbold and Carlson and Thorne, 6th
Newbold and Carlson and Thorne, 6th
Ka-fu Wong & Liang Dai
Ka-fu edition Liang Dai
Assignment One ECON 2040 A01
Due Date: 02/10/2015,
Friday
(1) This assignment is to be completed individually. Students are allowed to discuss or share ideas
with your fellow student however your answer should be unique and cannot copy others work as
ment
Assignment 1
Q1.
A population(N) is the collection of all items of interest or under investigation
A sample(n) is an observed subset of the population
Descriptive statistics is graphical and numerical procedures to summarize and process
data
Inferential s
Assignment Three ECON 2040
Due Date: A01/A02 23/11/2015,
Monday
A03, 24/11/2015, Tuesday
(1) This assignment is to be completed individually. Students are allowed to discuss or share
ideas with your fellow student however your answer should be unique and
Liner Functions of Random Variables
Find the Mean and Variance of Z : Z=(X-mx)/x
text book 136example 4.29
Example
It is estimated that 3.2% of callers for a mutual fund company will either
get a busy signal or give up for holding too long
Find mean and s