DSME 2011 I,J&K Statistical Analysis for Business Decision
Individual Assignment 2
Due Date: December 4 (Friday), 11a.m.
1.
Topic: Sampling and Sampling Distribution (5 marks)
The mean television viewing time for Americans is 15 hours per week (Money, Nov

DSME 2011 G, I and J
Assignment 3
This assignment is due by Oct 24 (M) 5pm. Please send a hardcopy to CYT Level 2 assignment drop box.
Remember to put down the group name and all members names and SIDs on the first page. Late
submission will lead to a ded

Chapter 13
Linear Regression - Part 1
DSME2011
CUHK Business School
Prof. Sang Won KIM
Regression Analysis
Suppose you have a data set containing the information of many apartments
in Hong Kong such as the price, size, floor, location, number of bedrooms,

Chapter 9
Hypothesis Testing
Hypothesis Testing (HT): Background
Suppose you have a preliminary belief about the population mean ,
say =100. You would like to know if you may keep believing this (and
therefore make decisions based on that) or deny it. T

Chapter 6
The Normal Distribution
Motivating Example
Downloading time at MyTVLab: From multiple test downloads, the statistics
department of MyTVLab gathered data on the downloading time.
> Mean download time is 7 seconds and the standard deviation is 2

Cumulative Probabilities for the Standard Normal Distribution.This
table gives probabilities to the left of given z values for thestandard
normal distribution
z
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0
0.5000
0.5040
0.5080
0.5120
0.5160
0.5199

Chapter 13
Linear Regression - Part 2
DSME2011
CUHK Business School
Prof. Sang Won KIM
Review of Lecture 1
Fining a regression line:
By minimizing SSE - Sum of Squared Error
Equivalent to getting estimates for s
ANOVA: Analysis of Variance
Comparing SST,

DSME2011 Homework set 6.
Linear Regression
Not to be submitted. This is for your practice.
1
Introduction to Regression
18 13
Regression Output: House Value vs. Age
Q1. The following is a part of the output report of a linear regression. The dependent var

DSME2011 Homework Set 4.
Due in CLASS on Sections D/K: Tue, Nov. 1; Section F: Mon, Oct. 31.
Chapter 8.
Q1. HSBC is interested in the average amount of cash withdrawals by its ATM users, and collected
sample data from 100 customers who used the machine ye

DSME2011 Homework Set 5.
Due in CLASS on Sections D/K: Tue, Nov. 8; Section F: Mon, Nov. 7.
Chapter 9.
Q1. (LSS 9.13) Do marketing majors at your school study more than, less than, or about the same
as marketing majors at other schools? The Washington Pos

DSME2011 Formula Sheets for Final Exam
n
- Mean of a population(Xi s) with size n: =
1X
Xi
n
i=1
n
n
n
i=1
i=1
i=1
1X
1X 2
1X
- Variance of a population(Xi s) with size n: 2 =
(Xi )2 =
Xi
Xi
n
n
n
!2
1
- The Chebychev Rule: At least 1 2 of the data lie b

DSME2011 Formula Sheet
n
1X
- Mean of a population data(Xi s) with size n: =
Xi
n
i=1
2
- Variance of a population(Xi s) with size n:
n
n
n
i=1
i=1
i=1
1X
1X 2
1X
=
(Xi )2 =
Xi
Xi
n
n
n
!2
1
- The Chebychev Rule: At least 1 2 of the data lie between d an

Fall 2016
DSME 2011 GIJ
Key to Assignment 2
Section I
1) B
7) C
2) C
8) B
3) C
9) A
4) B
10) C
5) B
11) B
6) B
12) B
1 of 3
Section II
13
Question 5.5
Arrivals
Frequency
P(X)
X*P(X)
0
1
2
3
4
5
6
7
8
3
30
41
48
39
22
10
4
3
0.015
0.15
0.205
0.24
0.195
0.1

Fall 2016
DSME 2011 GIJ
Key to Assignment 3
Section I:
Basics
Question 1
a.
Possible coverage error: Only employees in a specific division of the company were
sampled.
b.
Possible nonresponse error: No attempt is made to contact non-respondents to urge th

Fall 2016
DSME 2011 GIJ
Key to Assignment 1
Section I
1) D
6) B
2) C
7) C
3) C
8) C
4) B
9) D
5) A
10) C
Section II
Question 11
1.7
(a)
numerical, discrete*, ratio scale
(b)
categorical, nominal scale
(c)
categorical, nominal scale
(d)
numerical, discrete

DSME 2011 G, I and J
Assignment 1
This individual assignment is due by Sep 23 (F) 5pm. Please send a hardcopy to CYT Level 2
assignment drop box. Late submission will lead to a deduction in points.
Section I
Multiple Choice
Choose the one alternative that

HW 2
TB questions
Q5.4 Investors use probabilities to decide among several potential investments and calculate
potential returns, or losses. An investor has the possibility to invest $2 million in three different
schemes. The first one has a 15% chance of

HW 2
5.4
a. First investment: 6,000,000 x 0.15 + 1,000,000 x 0.45- 2,000,000 x 0.4 =
550,000
Second investment: 2,000,000 x 0.3 + 1,500,000 x 0.3 2,000,000 x 0.4=
250,000
Third investment: 5,000,000 x 0.05 + 0 x 0.6 + 2,000,000 x 0.35 = - 450,000
b. We ha

Statistical Analysis for Business
Decisions
Prof Xiaoyu Xia
Chapter 9
Hypothesis Testing: One-Sample Tests
The basic principles of hypothesis testing
How to use hypothesis testing to test a mean or
proportion
The assumptions of each hypothesis-testing
pro

Chapter 8
Confidence Interval Estimation
Question 1. Where will be the sample mean?
If we know where is and how large n is:
Where is the random sample mean " likely to be located?
In other words, can we find an interval within which the sample
mean wil

FINA4050
Mergers & Acquisitions
Dr. Stan Ho
Department of Finance, CUHK
February 4, 2017
Todays Topics
>
M&A Terminologies
>
M&A Motivation
>
M&A Brand Consideration
>
Why Most M&A Deals Fail?
>
Case Studies: Accounting Firms
January 17
1
M&A Terminologie

FINA4050
Mergers & Acquisitions
Dr. Stan Ho
Department of Finance, CUHK
February 18, 2017
Todays Topics
>
Second Round
>
Negotiation
>
Negotiated Sale
>
OCBC and Wing Hang Bank
February 17
1
Second Round
Second Round
>
Conduct Management Presentations
>
F

DSME 2011 I, J & K Voluntary Assignment Chapter 8 and 9
Please submit this voluntary assignment latest by the beginning of the class on November 17 (Section I &
K) or November 18 (Section J). No late submission will be accepted.
You can earn up to 3-point

Ch.7 Element: entity on which data are collected. Expected value of x=(population mean)(unbiased) Expected value of p=p
N n
Sample random distribution: Standard error of mean: N n ( ) (finite population) x (infinite population) z= x-
x
xx
( )
n
n
N1 n

Chapter 10
Comparisons Involving Means
http:/www.youtube.com/watch?
v=0zZYBALbZgg&src_vid=BX9iMIC6mcg&feature=iv&a
nnotation_id=annotation_466782
Slide
1
Chapter 10, Part A
Comparisons Involving Means, Experimental
Design, and Analysis of Variance
Inferen

Chapter 11
Comparisons Involving Proportions
and a Test of Independence
n Inferences About the Difference Between
Two Population Proportions
n Hypothesis Test for Proportions
of a Multinomial Population
n Test of Independence
Slide
1
Inferences About the

THE CHINESE UNIVERSITY OF HONG KONG
Department of Decision Sciences and Managerial Economics
DSME2011 Statistical Analysis for Business Decisions
Section _H _
(First Term, 2016-2017)
INSTRUCTOR
Name:
Office:
Phone:
E-mail:
Office hours:
Prof. Xiaoyu Xia
C

DSME2011 Review Session 1 for Mid-Term
Prepared by Prof. Sang Won KIM
Chapter 3: Computing the mean and the variance of a population data
Computing the mean is simply by the formula: add the values and divide the total by the population
size n. Computing

Chapter 9
Hypothesis Testing
Hypothesis Testing (HT): Background
Suppose you have a preliminary belief about the population mean !,
say "=100. You would like to know if you may keep believing this (and
therefore make decisions based on that) or deny it.

Chapter 5
Discrete Probability Distributions
Motivating Example
You are about to join the following game:
1. You pay $XX to join.
2. You flip 3 (fair) coins.
3. You receive $YY per head observed.
Questions:
Q1. Will you join the game?
Q2. What is the pr

Chapter 6
The Normal Distribution
Motivating Example
Downloading time at MyTVLab: From multiple test downloads, the statistics
department of MyTVLab gathered data on the downloading time.
> Mean download time is 7 seconds and the standard deviation is 2