Week 4: Dialogue
Cause and Effect and Correlation
In the United States, low income areas seem to have more crime and also more liquor stores
than more prosperous areas. Does the increased number liquor stores cause crime? A study
from Southern California
Answer the following questions:
1. Does it appear that, on average, the Neulanders were successful in signing more than one family from
a parish? Does it seem that most of them knew each other prior to undertaking the voyage?
Answer: Yes, I think that the
The "Average"
There are three different types of averages: mean, mode and median. The word "average" is used
in the media for all three although each is different from the other. Let us look at the amount of
money spent at the Dollar Tree (tax excluded) b
Statistics and Graphing
One of the disturbing uses of statistics in the media is taking statistical information and
displaying the information in an exaggerated manner to trick the reader into a certain point
of view. On pages 106-108 of your textbook, pi
DECISION ANALYSIS
GOAL PROGRAMMING
CASE 7.1
PROF. ROGER
Presented by:
Ashley E. Guzman
Syretta N. Thompson
REMOVING SNOW IN MONTREAL
Snow
removal in Canada is expensive
Montreal setup a time-efficient system
Cities are divided into different sectors
S
Brand
1 Embassy Lodge
2 Sheritown Inn
3 Hynton Hotel
4 Vacation Inn
5 Merrylot
6 FairPrice Inn
7 Jetty Park Inn
8 President's Suites
9 Johnson Loward's
10 Leeward Place
11 Magmun Opus
12 Rural Retreat
13 Sleep Well Inn
14 Comfort Cave
15 Nights Inn
16 Wes
DECISION ANALYSIS
GOAL PROGRAMMING
CASE 7.1
PROF. ROGER
Presented by:
Ashley E. Guzman
Syretta N. Thompson
REMOVING SNOW IN MONTREAL
Snow
removal in Canada is expensive
Montreal setup a time-efficient system
Cities are divided into different sectors
S
1
Goal Programming - Case 7.1
Decision Analysis
Conducted By:
Ashley Guzman & Syretta Thompson
December 10, 2015
2
Introduction:
The Goal Programming Summary was conducted by our team; it was designed to
evaluate the most effective way to reach the optima
Study Guide History and Modern Viewpoints of Psychology Test 4
Keep in mind that what you concentrate on is what were in my lectures both what was in the
powerpoints and what I added to that. Im using the sections of each chapter to organize the
content;
# 03.0.0.0_Estimation_Summary_R_Program.R
# Multiple plot function
#
# ggplot objects can be passed in ., or to plotlist (as a list of ggplot
objects)
# - cols:
Number of columns in layout
# - layout: A matrix specifying the layout. If present, 'cols' is
# Davis exercise
# load data-require(graphics); require(ggplot2); require(car)
data("Davis")
str(Davis)
head(Davis)
# use edit() to find and fix data values - look at observation 12
Davis <- edit(Davis)
# or fix observation 12 using the index feature
Davi
Challenges and Remediation for Least Squares
Dr Douglas Jones
Tuesday, November 25, 2014
1 Anscombes Quartet data
2 Residual Plots
2.1 An approximate test of noncontant error variance.
2.2 An F test for nonconstant error variance between two groups de
Remedies for
Problems with the
Error
Lecture Outline
Generalized Least Squares
Weighted Least Squares
Testing for Lack of Fit
Robust Regression
Dr Douglas H Jones
2
Generalized Least Squares
(GLS)
GLS allows for the errors to be correlated
The formu
Getting Started:
Correlation Linear Regression
Models
Dr. Douglas Jones
1
Outline for this Lecture
Reading and writing
files in R
Fitting a model with
just one predictor
Learning about data
sets
Pearson Correlation
Coefficient
Seeing the need for
lin
Inference:
Confidence
Intervals
Dr. Douglas H. Jones
1
Lecture Outline
Confidence Intervals for Beta Parameters
One-at-a-time CI for Beta Parameters
Joint CI for two Beta Parameters
Confidence Intervals for Individual
Predictions
Confidence Intervals
Challenges and
Remediation for
Least Squares
Lecture Outline
Detection and remediation of nonc0nstant error
variance
Detection and remediation of non-normal error
distribution
Detection of wrong model structure
Dealing with collinearity within predict
George Blank
University Lecturer
Good Design
Still an art practiced by craftsmen,
not an engineering discipline
Some Designs are Classics
Question:
How do you recognize a great
design?
Answer:
All your competitors file for
bankruptcy because you took aw
Rutgers Business School
Fall 2016
Introduction to Probability: Homework 7
Homework to be submitted on Blackboard by 10am on Wednesday November 9th.
Please ensure your homework is a pdf or word doc.
Explain all your answers and show your working.
Problem 1
Rutgers Business School
Fall 2016
Introduction to Probability: Homework 10
Homework to be submitted at the beginning of class at 10am on Wednesday December 7th.
Explain all your answers and show your working.
Problem 1. Suppose the price of a stock of a p