BUEC 333: Some Answers to Study Questions for the Midterm
1. Construct the pdf and cdf for the sum of 3 dice. Using the cdf, show the probability of getting a
sum in the range of [6,8]. pdf and cdf in 216'ths.
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BUEC 333
Spring 2006
Prof. Simon D. Woodcock
Special Code: 0001
Name:
Student Number:
Section:
SOLUTIONS TO THE MIDTERM EXAM
Part 1: Multiple Choice. [20 points total]
1) The significance level of a test is the probability that you:
a) reject the null whe
Name:_
Student #:_
BUEC 333 FINAL EXAM
There is a formula sheet attached at the end of the exam and some blank pages for your rough work.
Use the bubble sheet to record your answers for the multiple choice questions and write your answers
to the short ans
SAMPLE MULTIPLE CHOICE QUESTIONS FOR MIDTERM
1.) Suppose the monthly demand for tomatoes (a perishable good) in a small town is random. With
probability 1/2, demand is 50; with probability 1/2, demand is 100. You are the only producer of tomatoes
in this
BUEC333 Exam 1
Part 1: Probability Theory and Statistics
September 27, 2015
Abstract
There should be nothing on your desk except for:
(a) exam booklet
(b) exam
(c) formula sheet
(d) pens
All your stu (books, notebooks, (i)phone, etc) should be placed in a
BUEC333 Exam 3 (44 points total)
November 22, 2016
Abstract
Please, be RIGOROUS, and SHOW ALL YOUR WORK in order to
receive partial credit. If you do not show your work, no partial credit can
be given even if you give the right answer.
There should be not
BUEC333 Exam 2
Part 2: Linear and Nonlinear Regression
50 points total
November 4, 2015
Abstract
There should be nothing on your desk except for:
(a) exam booklet
(b) exam
(c) formula sheet
(d) pens
All your stu (books, notebooks, (i)phone, etc) should be
Given name:_
Student #:_
Family name:_
BUEC 333 FINAL
Multiple Choice (2 points each)
1) Suppose you draw a random sample of n observations, X1, X2, , Xn, from a population with unknown
mean . Which of the following estimators of is/are biased?
a.) half o
1.) Which of the following is not an assumption of the CLRM?
a.) The model is correctly specified
b.) The independent variables are exogenous
c.) The errors are normally distributed
d.) The errors have mean zero
e.) The errors have constant variance
2.) F
Given name:_
Student #:_
Family name:_
Section #:_
BUEC 333 MIDTERM
Multiple Choice (2 points each)
1.) The GaussMarkov Theorem says that when the 6 classical assumptions are satisfied:
a.) The least squares estimator is unbiased
b.) The least squares es
SAMPLE MULTIPLE CHOICE QUESTIONS FOR MIDTERM
1.) Suppose the monthly demand for tomatoes (a perishable good) in a small town is random. With
probability 1/2, demand is 50; with probability 1/2, demand is 100. You are the only producer of tomatoes
in this
Given name:_
Student #:_
Family name:_
Section #:_
BUEC 333 MIDTERM
Multiple Choice (2 points each)
1) If the covariance between two random variables X and Y is zero then
a) X and Y are not necessarily independent
b) knowing the value of X provides no inf
Department of Economics
Simon Fraser University
BUEC 333
Spring 2017
Practice Questions for Statistical Principles
Note: Not for grading.
1. A coin is tossed three times. Let the random variable X denote the number of heads in the tosses less the
numbe
Name:_
Student #:_
BUEC 333 FINAL EXAM
There is a formula sheet attached at the end of the exam and some blank pages for your rough work.
Use the bubble sheet to record your answers for the multiple choice questions and write your answers
to the short ans
BUEC 333
Problem set 2
Due date 09/26, by 4 PM.
1. Problem 2.4 in Review the Concepts, Chapter 2.
Population of interest: 80 students in a given econometrics class
Random variable of interest: the weight of the students in the class. Call this variable X.
BUEC 333
Problem set 1 Solutions
Due date 09/20
1
1. Problem 2.3 in Exercises, Chapter 2.
E (W )
var (W )
E (V )
var (V )
cov (W; V )
=
E (3 + 6X) = 3 + 6E (X)
=
3 + 6 [0 P (X = 0) + 1 P (X = 1)]
=
3 + 6 [P (X = 1; Y = 0) + P (X = 1; Y = 1)]
=
3 + 6 0:7 =
Expectation of linear transformations of continuous random variables
Our goal is to show that for a continuous random variable X, and known scalars
a and b, the following equality holds:
E (aX + b) = aE (X) + b.
Assume that the random variable X has sampl
BUEC 333, Summer 2016: Syllabus
Course:
Statistical Analysis of Economic Data
Lecture:
go.sfu.ca
Labs:
go.sfu.ca
Instructor:
Chris Muris
Office:
WMC 3639
Email:
Do not email me. Come and talk to me in person.
Office hours: Thursday, 10:0012:00
This docum
Regression Analysis
and
Ordinary Least Squares Estimators
BUEC 333
Regression Analysis and Ordinary Least Squares Estimators
BUEC 333
1 / 12
Population regression line
Y = 0 + 1 X

Y is the dependent variable (or regressand)
X is the explanatory variable
Hypothesis Testing: Examples
BUEC 333
Hypothesis Testing: Examples
BUEC 333
1/8
Example 1: new production process
The production process manager of Northern Windows Inc. has asked
you to evaluate a proposed new procedure for producing its Regal line
of do
Hypothesis Testing: Examples
BUEC 333
Hypothesis Testing: Examples
BUEC 333
1 / 12
Example 1: new production process
The production process manager of Northern Windows Inc. has asked
you to evaluate a proposed new procedure for producing its Regal line
of
Hypothesis Testing: Examples
BUEC 333
Hypothesis Testing: Examples
BUEC 333
1/9
Example 1: new production process
The production process manager of Northern Windows Inc. has asked
you to evaluate a proposed new procedure for producing its Regal line
of do
Hypothesis Tests and Confidence Intervals
in Multiple Regression
(SW Chapter 7)
Outline:
1.
2.
3.
4.
Hypothesis tests and confidence intervals for one coefficient
Joint hypothesis tests on multiple coefficients
Other types of hypotheses involving multiple
Nonlinear Regression Functions
(SW Chapter 8)
Outline
1. Nonlinear regression functions general comments
2. Nonlinear functions of one variable
3. Nonlinear functions of two variables: interactions
4. Application to the California Test Score data set
BUEC
Probability and Statistics
What is the difference between Probability and
Statistics?
The theory of probability provides you with the tools to
describe things that are random
= things that are not known with certainty
Statistics is about learning about
BUEC 333, Fall 2014
Final Study Sheet
I.B. @ SFU
November 19, 2014
Abstract
The nal is cumulative, so be sure that you remember the stu from
before the midterm. Use the midterm study sheet to refresh your memory.
Just as for the midterm, you should expect
Solutions handin 1
June 8, 2017
1
Question 2.4(a)
Using the denition of expectation,
E X 3 = 13 P (X = 1) + 03 P (X = 0)
= P (X = 1) = p.
2
Question 2.5
To translate from Fahrenheit temperatures to Celsius, see Wikipedia to nd
that we should subtract 32
Assignment#1  Q# 3.1, 4.1, 5.1
Kathy Cheng 301124045
June 24, 2016
Question 3.1
#a)i
#the mean of ahe of year 1992 is 11.61683
ahemean92< mean(year1992$ahe, na.rm = TRUE)
ahemean92
# [1] 11.61683
#the mean of ahe of year 2012 is 19.80026
ahemean12 < me
Sampling
Intro
Conditional distributions
Transformations of random variables
Sampling
Inclass exercise
Intro
Riddle 1: solution
The Monty Hall problem.
Recap week 1
I
I
I
Random variables and distributions
Expectation and variance
Joint distribution and