Management Notes
Chapter 6 Product
The Value Package
Features the qualities, both tangible and intangible, that a company builds into its
products
To attract buyers, features must also provide benefits: The mower must produce an
attractive lawn, the owner

ECMB12H3 Lec 01, 60
Quantitative Methods in Economics II
Department of Management
University of Toronto at Scarborough
Summer 2012
Dr. Yu
Test 2
Date:
Saturday July 21, 2012
Time allowed:
Two (2) hours
Aids allowed:
Calculator and one aid sheet (two 8.5x1

ECMB12H3 Lec30
Quantitative Methods in Economics II
Department of Management
University of Toronto at Scarborough
Fall 2011
Dr. Yu
Test 1
Date:
Monday October 17, 2011
Time allowed:
Two (2) hours
Aids allowed:
Calculator and one aid sheet (two 8.5x11 page

ECMB12H3Y Lec01, L60
Quantitative Methods in Economics II
Department of Management
University of Toronto at Scarborough
Summer 2012
Dr. Yu
Test 1
Date:
Friday June 1, 2012
Time allowed:
Two (2) hours
Aids allowed:
Calculator and one aid sheet (two 8.5x11

Department of Management, UTSC
MGEB12 Quantitative Methods in Economics II
Practice Questions Set 2
Problem 1
University XYZ has notice students are dropping out after 1 st year in their business program. XYZ has decided to launch
1 week non-mandatory ori

Department of Management, UTSC
MGEB12 Quantitative Methods in Economics II -Practice Questions Set 1 Solution
Problem 1
Some people who bought X-Game gaming systems complained about having received defective systems. The industry
standard for such systems

MGEB12H3S/L01-L30-L60 - MIDTERM Solution
Q1.
(a)
Test H0: 55
Ha: > 55.
Reject H0 if t0 t. x = 60.2 s = 8.491; 0 = 55; = 0.025, n = 10
x 0
60.2 55
t0
1.936 , t, n1 = t0.025, 101 = 2.262
s / n 8.491 / 10
Since 1.936 not 2.262, therefore do not reject H0 an

Department of Management, UTSC
MGEB12 Quantitative Methods in Economics II -Practice Questions Set 1 Solution
Problem 1
Some people who bought X-Game gaming systems complained about having received defective systems. The industry standard for
such systems

Department of Management, UTSC
MGEB12 Quantitative Methods in Economics II
Practice Questions Set 1
Problem 1
Some people who bought X-Game gaming systems complained about having received defective systems. The industry
standard for such systems has been

Department of Management, UTSC
MGEB12 Quantitative Methods in Economics II
Practice Questions Set 2 Solution
Problem 1
University XYZ has notice students are dropping out after 1st year in their business program. XYZ has decided to launch
1 week non-manda

ECMB12H3S Lec01, L30, L60
Quantitative Methods in Economics II
Department of Management
Winter 2013
Test 1
Date
Time allowed
Aids allowed
Friday February 8, 2013; 3:005:00pm
Two (2) hours
Calculator and one aid sheet (two 8.5x11 pages) prepared by
student

MGEB11 Quantitative Methods in Economics I
Dr. Yu
Chapter 3 Descriptive Statistics: Numerical Measures
Population of size N.
Data are x1 , x2 ,., x N .
Parameters
mean
2 variance
1
N
1
N
N
x
i 1
N
x
i 1
i
, standard deviation = 2
2
i
standard devia

1
Name:_
Student Number:_
YORK UNIVERSITY
LASSONDE SCHOOL OF ENGINEERING
ESSE 1012 3.0: THE EARTH ENVIRONMENT
MID-TERM TEST - FEB. 26, 2016.
PART A: Multiple Choice (25 marks)
Circle the letter beside the most correct answer. Each answer is worth 1 mark.

MGEB11H3S L01
Quantitative Methods in Economics I
Test 1
Friday February 12, 2016
12:30 14:30
Victor Yu
Last Name (Print)
_
_
First/Other Names
Student Number
Time allowed:
Aids allowed:
Two (2) hours
Any Calculator
A formula sheet is attached with the te

MGEB11 Quantitative Methods in Economics I
Dr. Yu
Chapter 3 Descriptive Statistics: Numerical Measures
Population of size N.
Data are x1 , x2 ,., x N .
Parameters
mean
2 variance
1
N
1
N
N
x
i 1
N
x
i 1
i
, standard deviation = 2
2
i
standard devia

Standard Normal Probabilities (Same as the normal table in the 10th edition of Anderson's book)
Example:
P( Z < -2.72) = 0.0033
z
0.00
0.01
0.02
0.03
0.04
0.045
0.05
0.06
0.07
0.08
0.09
-3.5
-3.4
-3.3
-3.2
-3.1
-3.0
0.0002
0.0003
0.0005
0.0007
0.0010
0.00

Standard Normal Probabilities (Same as the normal table in the 10th edition of Anderson's book)
Example:
P( Z < 0.12) = 0.5478
z
0.00
0.01
0.02
0.03
0.04
0.045
0.05
0.06
0.07
0.08
0.09
0.0
0.1
0.2
0.3
0.4
0.5
0.5000
0.5398
0.5793
0.6179
0.6554
0.6915
0.50

20160916Lecture3.notebook
September16,2016
1
20160916Lecture3.notebook
September16,2016
2
20160916Lecture3.notebook
September16,2016
Stock 2 varies more since it has a higher std dev.
3
20160916Lecture3.notebook
September16,2016
4
20160916Lecture3.noteboo