STAT 512
HW 1
Spring 2012
1. The percentage grades in a statistics course that two students will obtain this semester are
denoted by X1 and X2 . Assume X1 and X2 are independent, with the following means and
standard deviations:
E cfw_X1 = 86
E cfw_X2 =
Spring 2012
STAT 512
HW 4 KEY
Homework 4 (10 pts.)
due Feb. 10
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want the grader t
1. A regression analysis relating test scores (Y) to training hours (X) produced the following
fitted equation: y 15 0.9 x .
(a) What is the fitted value of the response variable corresponding to x = 6?
y 15 0.9 6 15 5.4 20.4
(b) What is the residual co
Spring 2012
STAT 512
HW 3
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want the
Statistics 512: Solution to Homework#4
1. Consider the following SAS output giving 5 condence intervals for the mean of Y . If you
wanted to guarantee that joint coverage of the ve condence intervals was at least 95%, what
condence level would you use whe
Spring 2012
STAT 512
HW 3 Key
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want
STAT 512
HW 1
Spring 2012
1. The percentage grades in a statistics course that two students will obtain this semester are
denoted by X1 and X2 . Assume X1 and X2 are independent, with the following means and
standard deviations:
E cfw_X1 = 86
E cfw_X2 =
STAT 512
MidTerm I (2/15/2012)
Section (circle):
Spring 2012
12:30 pm
1:30 pm
Name: _KEY_
INSTRUCTIONS
1. This exam is open book/open notes. All papers (but no electronic devices except for calculators) are
allowed.
2. There are 4 pages in addition to the
Spring 2012
STAT 512
HW 3 Key
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want
Statistics 512: Problem Set No. 1
Solutions
1. A regression analysis relating test scores (Y ) to training hours (X ) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of the response variable corresponding to x = 7?
Solution:
Statistics 512: Problem Set No. 1
Solutions
1. A regression analysis relating test scores (Y ) to training hours (X) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of the response variable corresponding to x = 7?
Solution: T
Spring 2012
STAT 512
HW 2 Key
Homework 2 (14 pts.)
due Jan. 27
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want the grader t
Statistics 512: Solution to Homework#6 For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class website. The variables are: id, a numerical identier for
Statistics 512: Applied Linear Models
Topic 9
Topic Overview
This topic will cover
Random vs. Fixed Eects
Using E (M S ) to obtain appropriate tests in a Random or Mixed Eects Model.
Chapter 25: One-way Random Eects Design
Fixed Eects vs Random Eects
U
Statistics 512: Homework#6
Due October 11, 2013 (Friday)
For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class website.
The variables are: id, a numer
Spring 2012
STAT 512
HW 5
Homework 5 (25.5 pts.)
due Feb. 24
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want the grader to
Statistics 512: Homework#1 Solution
1. A regression analysis relating test scores (Y ) to training hours (X) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of the response variable corresponding to x = 7?
Solution: The tted
Statistics 512: Homework#7
Due March 14, 2014 BEFORE CLASS
1. Increased arterial blood pressure in the lungs frequently leads to the development of heart
failure in patients with chronic obstructive pulmonary disease (COPD). The standard method
for determ
Statistics 512: Problem Set No. 4
Due September 25, 2009
1. Consider the following SAS output giving 5 condence intervals for the mean of Y . If you
wanted to guarantee that joint coverage of the ve condence intervals was at least 95%, what
condence level
STAT 512 Summer 2008
Homework #1 - SOLUTION
1. A regression analysis relating test scores (Y) to training hours (X) produced the following
fitted equation: Y = 13.2 + 1.3 X .
(a) What is the fitted value of the response variable corresponding to X = 8?
13
Random sample of n=120 freshman students from
small college
Want to see if end-of-the-year GPA (GPA) can be
predicted by his/her incoming ACT score (exam)
options nocenter colors=('none');
ods html close;
ods rtf file='H:\gpa_example.rtf';
data example;
Spring 2012
STAT 512
HW 3
Homework 4 (10 pts.)
due Feb. 10
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to present a complete solution (what you want the grader to gr
Statistics 512: Solution to Homework#8
Use the dataset from Problem 16.11 described on page 725 of KNNL (ch16pr11a.dat).
This analysis will be continued on the next homework set, so be sure to save your SAS
code.
1. Give a table of sample sizes, means, an
Statistics 512: Problem Set No. 9
Due November 13, 2009
1. Conduct a one-way ANOVA on the data summarized in the following table:
Treatment (i)
1
2
3
4
ni
7
5
8
4
Yi
14.6
23.1
15.2
10.3
si
10.4
10.6
9.4
10.2
(a) What is the estimate of in the factor eects
STAT 512 Summer 2008
Homework #8 - Solution
1. For this problem, use the Rehabilitation Therapy data set from KNNL Problem 16.9. Recall that
you conducted a one-way ANOVA on this data set for Homework #7.
a. Make a plot of the residuals versus the factor
STAT 512
12:00 p.m.
Homework 5
Levine
Grant Knies
10/17/2013
Problem 2
(From KNNL 6.5 pg 248)
Consider the brand preference data described in the text with Problem 6.5 on page 248. Run the
linear regression with moisture and sweetness of the product as th
Statistics 512: Homework 2
Due Monday, September 21, 2015 (11:59 pm)
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up
only those results that are necessary to present a complete solution. In particular, quest
Statistics 512: Solution to Homework#6
For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class website.
The variables are: id, a numerical identifier fo
STAT 512
HW8
Bruce A. Craig
Due Nov 9, 2016
For the first three problems, use the data from Problem 16.11 described on page
725 of the text. Of interest here is whether there are differences in the average
fill amounts across six filling machines.
8.1 Pri
STAT 512
HW6
Bruce A. Craig
Due Oct 12, 2016
6.1 KNNL Problem 10.13, part a. After fitting the data, make sure to comment on your
assessment of the regression models assumptions.
The regression model is Y = 0 +1 X1 +2 X2 +3 X3 + where are i.i.d. N (0, 2 )
STAT 512
HW4
Bruce A. Craig
Due Sept 21, 2016
4.1 KNNL Problem 3.7. Do not worry about obtaining the correlation between the ordered
residuals and normal scores in part d). Just construct the plot and comment. Instead
of part e), generate a histogram of t