Homework 4
Managerial Economics
IMBA, NCCU
1.Referring to the following figure, suppose that Mercury Airlines marginal revenue and
demand curves cross the marginal cost curve at quantities of 3,000 and 6,000 seats a week,
respectively. All other data rema

Regression Modeling
Non-Linear Models and Transformations
Variable Selection Methods
Regression Analysis II
Forward Selection
Backward Elimination
Stepwise Regression
Business Quantitative Methods
College of Commerce
National Chengchi University
22 2

What is Quality?
Process Control and Capability
Measure of how closely a good or service
conforms
f
tto specified
ifi d or perceived
i d standards
t d d
Components of Quality
Performance measure
Performance target
g
Process mean
Process variance
Business

OUTLINE
Analysis of Variance I
Single-factor ANOVA
Multiple Comparisons
Two-factor ANOVA
Business Quantitative Methods
College of Commerce
National Chengchi
g
University
y
2
Example
Single-Factor
g
Analysis
y
of Variance
In a research project, an experime

Discrete and Continuous
Probability Distributions
Business Quantitative Methods
College of Commerce
National Chengchi University
1
Random Variables
Numerical description of the outcome of an
experiment
Classified as either discrete or continuous
Continuou

Business Quantitative Methods
Team Homework Assignment 1
Due: October 8, Thursday, 2015
Chapter 5
21, 23, 29, 35, 39
Chapter 6
25, 45, 47
Exercise 1. Consider a t-distribution with degrees of freedom 49.
a.
b.
c.
Find the value of tc such that Probability

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(
4 ' , 6 samples where each sample l 7
7 far the critical value of F are
I: 1" ch": 3'
N" VPV 5
j are included in the study? fEta/Q 07;):
' 8.53 of the textbook.
Time Series Decomposition for Sales
Additive Model
Data Sales
Length 12

MGM MIRAGE ACCOUNTS RECEIVABLE Study Case 1
_
ANSWER 1:
The 2004 accounts receivable balance of $174,713 thousand in Exhibit 2 is the gross casino accounts receivable
because it includes the allowance for doubtful casino accounts receivable. NET accounts

Random Variables
Discrete and Continuous
Probability Distributions
Numerical description of the outcome of an
experiment
Classified as either discrete or continuous
Continuous random variable: any numerical value
in an interval or collection of intervals.

5
Finland:
Slow and Steady Reform
for Consistently High Results
Finland is one of the worlds leaders in the academic performance of its
secondary school students, a position it has held for the past decade.
This top performance is also remarkably consiste

Managerial Economics - Group homework #5
Case 1US QE policy
1. What is the government debt crisis? Why did these countries have debt crisis?
The Eurozone government debt crisis is the crisis of some European countries which
governments were not able to co

Homework 5
Macroeconomics
IMBA, NCCU
Please apply macroeconomic models to analyze the following macroeconomic issues.
Case 1: The US Federal Reserve has recently engaged a series of quantitative easing
policies in an effort to save the American economy wh

Homework 3
Managerial Economics
IMBA, NCCU
1.Consider a company that manages a network of hospitals across several counties in one
state. Household incomes and the cost of living are higher in urban than rural areas. The
company, however, has set the same

Homework 2
Managerial Economics
IMBA, NCCU
1.Barrick Gold owns the Bulyanhulu mine in Tanzania and the Karlgoolie mine in Australia.
Table 1 reports information on selling prices and costs for the two mines. Barricks selling price
of gold differs from the

Example: Pharmex Drug Store
R
Regression
i
A
Analysis
l i I
Pharmex has stores in many small towns. In order to
study effects of the promotional expenditure on sales.
Data were collected for 50 stores with the following
g
variables:
Sales: the store
store

Two-Way
y ANOVA
Analysis of Variance II:
Example. A bakery company supplies wrapped Italian
T
Two-Way
W ANOVA
bread to a large number of supermarket area. An
experiment study was used to study the effects of
h i ht and
height
d off shelf
h lf display
di l

Forecasting Approaches
Forecasting
Qualitative Methods
Used when situation is
vague & little data exist
N
New products
d t
New technology
Involve intuition,
experience
e.g., forecasting sales of
an electric car
Quantitative Methods
Used when situati

CHAPTER 2
BASIC REAL ESTATE
ECONOMICS
INTRODUCTION
REAL ESTATE DEMAND
REAL ESTATE DEMAND CONCEPTS
DEMAND SENSITIVITY TO PRICE/RENT CHANGES: PRICE ELASTICITY OF DEMAND
Impact of Actual Price Changes vs Expected Price Changes
EXOGENOUS DETERMINANTS OF REAL