Exam 2 Practice Questions-Duc Anh Le Dao
11/4/15, 9:43 PM
Instructor: Prince Afriyie
Course: Quantitative Methods for
Business II, Fall 2015
Student: Duc Anh Le Dao
Date: 11/4/15
Assignment: Exam 2 Practice
Questions
Find the relative extreme points of th
Exam 2 Practice Questions-Duc Anh Le Dao
11/5/15, 12:40 AM
Instructor: Prince Afriyie
Course: Quantitative Methods for
Business II, Fall 2015
Student: Duc Anh Le Dao
Date: 11/5/15
Assignment: Exam 2 Practice
Questions
Find the relative extreme points of t
Exam 2 Practice Questions-Duc Anh Le Dao
11/5/15, 12:37 AM
Instructor: Prince Afriyie
Course: Quantitative Methods for
Business II, Fall 2015
Student: Duc Anh Le Dao
Date: 11/5/15
Assignment: Exam 2 Practice
Questions
Find the relative extreme points of t
Fractional Factorials
One of the disadvantages of factorial experiments is that they can get large very quickly
with several levels each of several factors. One technique for reducing the size of the factorial to
more manageable levels is fractional repli
> tmp <- data.frame(y=sample(1:8), a=factor(letters[c(1:4,1:4)])
> tmp
y a
1 6 a
2 5 b
3 7 c
4 8 d
5 2 a
6 3 b
7 4 c
8 1 d
>
> tmp.lm <- lm(y ~ a, data=tmp)
> tmp.aov <- aov(y ~ a, data=tmp)
>
> all.equal(tmp.lm, tmp.aov)
[1] "Attributes: < Component 1: L
Statistics 8003, First Exam, October 14, 2009
Name:
1
Statistics 8003
First Exam, October 14, 2009
Open Book, Calculator Needed
This example is taken from Kellers book. Please read the problem specication on the attached
sheet.
1. Look at the scatterplot
315
_._—————————-—
7 A word of warning. In the example we ﬁtted a multiple regression of Y on
four variables X1, X2, X3, X4. The methods by which the regression coefﬁcients
b,— were computed apply only if the X,- are mutually orthogonal, as is the case in
An Intermediate Course in Statistical Computing
July 21, 2010
Richard M. Heiberger
1
An Intermediate Course in Statistical Computing
Richard M. Heiberger
Temple University
I have just completed teaching the latest incarnation of a course on Statistical Co
Fractional Factorials
One of the disadvantages of factorial experiments is that they can get large very quickly
with several levels each of several factors. One technique for reducing the size of the factorial to
more manageable levels is fractional repli
> tmp <- data.frame(y=sample(1:8), a=factor(letters[c(1:4,1:4)])
> tmp
y a
1 6 a
2 5 b
3 7 c
4 8 d
5 2 a
6 3 b
7 4 c
8 1 d
>
> tmp.lm <- lm(y ~ a, data=tmp)
> tmp.aov <- aov(y ~ a, data=tmp)
>
> all.equal(tmp.lm, tmp.aov)
[1] "Attributes: < Component 1: L
Chapter 3
Richard M. Heiberger and Burt Holland
Statistical Analysis
and Data Display
An Intermediate Course
with Examples in R
Statistics Concepts
In this chapter we discuss selected topics on probability. We dene and graph several
basic probability dist
Appendix H
Richard M. Heiberger and Burt Holland
Statistical Analysis
and Data Display
An Intermediate Course
with Examples in R
Draft Second Edition
R
R (R Core Team, 2014b) is the lingua franca of data analysis and graphics. In this
book we will learn t