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
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
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
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
Assessing the Assumptions of the
Regression Model
FALL 2016
Dr Morin
Multiple linear regression model
yi 0 1 x1i 2 x2i k xki i
Certain assumptions were made about how the i
errors behaved. In this chapter we will check to
see if those assumptions appear r
Variable Selection
FALL 2016
Dr Morin
If an important variable is omitted, the estimated
regression coefficients can become biased
(systematically too high or low).
Their standard errors can become inflated,
leading to imprecise intervals and poor power i
SCOM 361
Assignment 2
Fall 2016
This Assignment is worth 8%. It can be done by one, two, or three students (no more than
three).
Deadline:
Nov. 22, 11:00 PM
Instructions:
Please submit your assignment either as an MSWord or a pdf file on Moodle.
The submi
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
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
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
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
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
Multiple Regression
Analysis
Winter 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
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
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
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
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
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
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
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
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