STAT 460
Quiz 1
Fri, 9/17/2004 Score:_
NAME: _
1) Which one of the following statements is true? a) X and s are parameters; and are statistics b) and s are parameters; X and are statistics c) X and are parameters; and s are statistics X
2) Which one of
STAT 460
Lab 11 Solutions
11/29/2004
Task 1: Challenger O-ring example
a. Cross-tabulation shows failure rates of 0, 16.7, 60.0, 0 and 75% as we drop temperature
groups from the 80s to the 50s. The rise in rate is not steady, but that may be due to the
sm
STAT 460
Quiz 2
Fri, 10/08/2004 Score:_
NAME: _
1. In general, statistical inference can be said to consist of a. making conclusions about unknown population parameters based on observed sample statistics b. making conclusions about unknown sample statist
STAT 460
One way ANOVA example
Researchers at Purdue University conducted an experiment to compare three methods of teaching reading. Students were randomly assigned to one of the three teaching methods, and their reading comprehension was tested before a
Introduction to Experimental Design
p. 1 John Dziak
Introduction to Experimental Design In an experiment, objects are assigned to different groups which then are given different treatments. The groups are then compared on some outcome variable to see what
Evaluating Polygraph Data
Aleksandra Slavkovic
sesa@stat.cmu.edu
Abstract
The objective of automated scoring algorithms for polygraph data is to create reliable and statistically valid classication schemes minimizing both false positive and false negative
STAT460
Lab 1 Solutions
9/13/2004
Task 2: Independent sample t-test a. The "model" is a statement of our assumptions about the populations from which our data come. Here the model is that the two samples come from two populations which are normally distri
Assignment 4
1. The graph shows a pattern of unequal variances.
2.
Analysis of Variance for EggsLaid
Source
DF
SS
MS
MothType
2
599467
299733
Error
42
1806295
43007
Total
44
2405762
F
6.97
P
0.002
Confidence intervals are mean +/- t*sqrt(MSE/n) Use 42 df
Stat 460
Homework 7 Key
1. This problem uses the data from exercise 8-2 of the book.
A. Do an appropriate two factor analysis of variance. Are there significant treatment
differences?
Is the block effect significant?
The appropriate AOV is an additive (no
Stat 460 Homework 3 Key
The times, in seconds, to a complete a task are recorded for 24 individuals. The data
were collected in a completely randomized experiment done to examine how the time
is affected by four different noise conditions : A quiet condit
Solution for Practice Question Of 2/6/98 Handout
The Question
An experiment is done to examine how the night time legibility of highway signs is
affect by increasing the brightness of the sign board material. Four equally spaced
brightness levels are cons
SAS OUTPUT lab5
The REG Procedure
Model: MODEL1
Dependent Variable: TCELL
Analysis of Variance
Source
DF
Sum of
Squares
Mean
Square
Model
Error
Corrected Total
1
19
20
0.06244
0.12472
0.18716
0.06244
0.00656
Root MSE
Dependent Mean
Coeff Var
0.08102
0.323
Daniel Chen Long Liu
Question #1:
a. Regression Analysis: Time versus Type
Method
Categorical predictor coding
(1, 0)
Analysis of Variance
Source
Regression
Type
Error
Total
DF
1
1
38
39
Adj SS
65.03
65.03
472.75
537.78
Adj MS
65.03
65.03
12.44
F-Value
5.