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Eepartment ofSuppiy Chain and Business Technology Management
* ESTA 378
Midterm Exam
Pre-fessor i). Morin
October 2'1, 2015 v
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Last Name: First Name
Student ID. No.:
INSTRUCTIONS
I. This is an OPEN BOOK examination. Y

ohn Molson " , " _
glchool of Business COLELL "763
BSTA 378 Winter 2015
Statistical Models for Data Analysis
Dr. Morin
SOLUTION
Assignment 2
Due March 26, 2015
To be done in groups of 2 students _ Question 1
Let the variable Success= 1 if the program comp

Jeck Jefferson C. Sison
173 Vibora, Gen. Trias, Cavite | 09051087969 | [email protected]
Objective
To obtain a position as a Manager of Human Resources that will utilize my experience,
knowledge and skills to fulfill the needs, goals, vision and mission

Using Indicator and
Interaction Variables
1
FALL 2016
Dr Morin
Gender
Female
Female
Let
X1 =
1 if Female student
0 if Male student
Male
Male
Male
Female
Female
Dummy variable or
indicator variable
Gender
X1
Female
1
Female
1
Male
0
Male
0
Male
0
Female
1

BSTA 378
ANALYSIS OF COVARIANCE
Fall 2016
Dr Morin
1
Analysis of Covariance
GOAL: To test for differences
between group means when
we know that an extraneous
continuous variable affect the
continuous outcome variable.
2
Analysis of Covariance
Assess diffe

ANOVA
Fall 2015
Dr Morin
Evaluate the difference among the means of three or
more groups
Examples: Accident rates for 1st, 2nd, and 3rd shift
Expected mileage for five brands of tires
Assumptions
o Populations are normally distributed
o Populations have e

ANOVA
Randomized Block Design
Fall 2016
Dr Morin
We use blocking to control for a source of variation we think may
effect the response (e.g. slope in field, day, subject, etc.).
When the blocks are subjects we often times refer to the experiment
as a repe

ANOVA
Fall 2015
Dr Morin
Evaluate the difference among the means of three or
more groups
Examples: Accident rates for 1st, 2nd, and 3rd shift
Expected mileage for five brands of tires
Assumptions
o Populations are normally distributed
o Populations have e

BSTA 378 Fall 2015
Statistical Models for Data Analysis
Dr. Morin
SOLUTIONS
Assignment 2
Due Friday November 13, 2015 before noon
To be done in groups of 2 students
Question 1
A hotel has designed a new system for room service delivery of breakfast that a

Winter 2016
Dr Morin
POPULATION
A population consists of all the items or individuals about which
you want to draw a conclusion. The population is the large
group.
SAMPLE
A sample is the portion of a population selected for analysis. The
sample is the sm

Using Indicator and
Interaction Variables
1
Winter 2016
Dr Morin
Gender
Female
Female
Let
X1 =
1 if Female student
0 if Male student
Male
Male
Male
Female
Female
Dummy variable or
indicator variable
Gender
X1
Female
1
Female
1
Male
0
Male
0
Male
0
Female

Fitting Curvilinear
Relationships
FALL 2016
Dr Morin
In Chapter 4 , the model was presented as:
yi 0 1 x1i 2 x2i k xki ei
where we assumed linear relationships
between y and the x variables.
In this chapter we find that this may not be
true and consider c

Qualitative Dependent Variables:
An Introduction to Discriminant Analysis
and Logistic Regression
Fall 2016
Dr Morin
In each case the observations are to be
divided into two groups; those that have a
particular attribute and those that do not.
Successful

References:
Arcilla, J. S. (1998). An introduction to Philippine history (4th ed.). Quezon City: Ateneo de
Manila University Press.
Halili, M. N. (2011). Philippine history (2nd ed.). Manila: Rex Book Store.
Layug, B. L. (2005). A Philippine odyssey: A co

A Project Proposal for
1st JPIA Poster Making Contest
Theme: "Seven Billion Dreams; One Planet; Consume with Care."
A. Rationale
The poster presentation is a widely-used communication tool for students to show
and discuss their own thoughts regarding the

5 November 2015
LOCAL CHAPTER PRESIDENT
Dear President:
Good day!
We are the Cavite Junior Philippine Institute of Accountants (CaJPIA), a provincial organization
that aims to be an instrument in expressing the ideals and aspirations of accountancy studen

A Project Proposal for
7th ACCOUNTANCY DAY
Theme: Adventures of aspiring Accountants: The marvels in attaining the CPA
Dream.
A. Rationale
As one of the highly regarded college-based organizations of LPU-Cavite,
the Junior Philippine Institute of Accounta

A Project Proposal for
7th ACCOUNTANCY DAY
Theme: Adventures of aspiring Accountants: The marvels in attaining the CPA
Dream.
A. Rationale
As one of the highly regarded college-based organizations of LPU-Cavite,
the Junior Philippine Institute of Accounta

SABROSO
CRIOLL
d e P i n o y I n c.
O
SABROSO
CRIOLL
d e P i n o y I n c.
O
SABROSO
CRIOLL
d e P i n o y I n c.
O
SABROS
CRIOLLO
O
d e P i n o y I n c.
SABROSO
CRIOLL
C ho c o l a t i e r
O

Multiple Regression
Analysis
Fall 2016
Dr Morin
Examine the linear relationship between
1 dependent (Y) & 2 or more independent variables (Xi)
Multiple Regression Model with k Independent Variables:
Y-intercept
Population slopes
Random Error
Yi 0 1X1i 2 X

Simple Regression
Analysis
FALL 2016
1
Dr Morin
Regression analysis is a statistical
technique used to describe relationships
among variables.
Y is a dependent variable that may be
related to an independent or explanatory
variable X.
2
Population
Y interc

v Concordia University
john Molson
School of Business
BSTA 378 Fall 2016
Statistical Models for Data Analysis
Dr. Morin
b) kWh/J
Assignment 1
Due September 30, 2016
To be done in groups 0f2 students Question 1
Several farmers were interested in the relati

BSTA 378 A, AA / DESC 695 B
Fall 2016
Statistical Models for Data Analysis
Dr. Morin
Assignment 3
Due Tuesday December 6, 2016
To be done in groups of 2 students
Question 1
The analysis of variance for a 3 x 2 factorial experiment, with four observations

Fall 2016
Dr Morin
POPULATION
A population consists of all the items or individuals about which
you want to draw a conclusion. The population is the large
group.
SAMPLE
A sample is the portion of a population selected for analysis. The
sample is the smal