Department of Economics, Business, and Mathematics
ECONOMICS 2122A
MIDTERM
K. Denniston
October 2010
Instructions
You must have your student ID
You are allowed: A basic scientific calculator (no wireless or text storage permitted)
Formula Sheet at end of
Solution to HA 1
1) A recent survey examined the working arrangements of married households. It was found
that 88% of the households had at least one working member. In 20% of the households
with the woman not working, the man also does not work. In 40% o
Department of Economics, Business, and Mathematics
ECONOMICS 2122A
MIDTERM
K. Denniston
October 2010
Instructions
You must have your student ID
You are allowed: A basic scientific calculator (no wireless or text storage permitted)
Formula Sheet at end of
BAS 152
Name_
MIDTERM I
FALL 2008
FORM B
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
The police lieutenant in charge of the traffic division has reviewed the number of traffic citations issued per
HW 41
Hypothesis Testing
Due Wednesday, June. 10, by 7pm.
1. A pharmaceutical manufacturer is concerned about the impurity concentration in pills, and it is
anxious that this concentration does not exceed 3%. It is known from a particular production run,
ECON1003: Analysis of Economic Data
Spring 2007
University of Hong Kong
Mid-term exam #1
Saturday, March 10, 2007
9:00a.m. 10:00a.m.
IT PAYS TO READ THIS COVER PAGE CAREFULLY.
UNLESS THE INVIGILATOR TELLS YOU TO DO SO,
DO NOT TURN THE PAGE,
DO NOT READ TH
3_SPSS_HW2_contingency tables
To examine the relationship between 2 categorical variables, we often use a contingency table (cross
table). I use the HEI cost variable. sav data set.
SPSS window command is:
Analyze tab Crosstabs.
Choose the row variable an
1
Chapter 4 - Discrete Random Variables and Probability Distributions
Random variable (X) = the potential outcomes from a random experiment where
there are multiple possible outcomes and uncertainty about which outcome will
occur.
Big X = defined as the r
KING'S UNIVERSITY COLLEGE
AT THE UNIVERSITY OF WESTERN ONTARIO
Department of Economics, Business & Mathematics
ECONOMICS
2122a
570
Professor: K. Denniston
Office: FB313
Email: [email protected]
Office Hours: M, W 2:35-3:35
Ext.
Class times and location(s):
1
Introduction
Bring calculator for DEMO.
Bring textbook.
Hand out survey.
Ch. 1- Definitons and Descriptive Graphs
Start with a Question:
Suppose we wish to know how many people in Ontario age 18 and older plan to
vote for the Liberal party in the next f
M PRA
Munich Personal RePEc Archive
Companion for Statistics for Business
and Economics by Paul Newbold,
William L. Carlson and Betty Thorne
Kairat Mynbaev
Kazakh-British Technical University
4. June 2010
Online at http:/mpra.ub.uni-muenchen.de/23069/
MPR
Republican (Trump)
Government should be limited to security
government should not create jobs
or administer education
government does a lousy job so it should be left to the people
Democratic (Clinton)
Governments job to look after people
they need more t
Mos 2275 Part 2 Notes (Ch 5 9)
Contract Law
Contract
Exchange of value (usually promises) which the law will enforce
Mutual consideration
Both parties legally bound by their promise
7 elements of a contract
1. Agreement (Consensus)
2 parts
o Offer to ent
Answers to Practice midterm
31. (4 points) A firm interviews 8 candidates for 4 jobs. Four of the candidates are women and four of
the candidates are men. What is the probability that fewer than 2 of the hired applicants are women?
(Note: Because the popu
ASSIGNMENT I
PGDM (supported by e-learning) ( Module I)
Subject Code: eGM03
Subject Name: Quantitative Techniques for Managers
Time : 2 hrs
Maximum Marks : 100
Attempt all questions: All questions are compulsory and each question carries 2 marks. No negat
Nov 6 th , 2016
EC 2122, Fall 2016
Practice Midterm Exam 2
Answer the questions in the spaces provided, showing the steps you used to
arrive at your answer. If you run out of room, clearly label where you continue
your answer.
Name:
1. Suppose you would l
For a simple linear regression as follow:
yi =
0
1 xi
+
+ ei
These formulas hold:
P
1 =
Sy
(x i x )( yi y ) cov(x, y)
P
=
=r
var(x)
Sx
(x i x )2
0 = y
Sx y
r=
P
Sx y =
Sx S y
x )( yi
(x i
P
S 2x
1 x
=
n
y )
1
x )2
(x i
n
1
E[ei ] = 0
E[ei2 ] =
2
E[ei e j
AnswerKey
Testname:MT1MUOCT12
B
2) B
3) A
4) B
5) D
6) E
7) B
8) D
9) C
10) D
11) B
12) C
13) A
14) B
15) B
16) B
17) D
18) A
19) C
20) B
21) D
22) B
23) A
24) B
25) A
26) D
27) A
28) B
29) C
30) E
31) B
32) B
33) D
34) E
35) C
36) B
37) D
38) D
39) B
40)
MOS 2275 Business Law Chapter 1 Notes
Knowledge of business law is an asset to owners and managers (those who make business decisions)
Helps reach goals & objectives
5 Purposes of Business Law:
1. Defines rules of commerce
2. Protects business ideas and m
HW 3
Sampling Distributions and Estimation1
Due June 4th by 7pm. You may turn it in during class.
Show your work! Also, please express numeric answers in either decimal form or simplied (that is,
reduced) fraction form. Non-reduced fractions may be marked