Worksheets for Experimental Design
1. Introduction to Experimental Design
Reading: Chapter 1 Sections 1.1 1.3
Concepts:
Observational vs experimental
Causal relationship vs Association / Correlation
W
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA 2005S
CLASS TEST 1 (30 AUGUST 2006)
TIME: 100 minutes
MARKS: 45
1. Suppose that X(21) follows a multivariate normal distribution with den
1
Lecture 21. The Multivariate Normal Distribution
21.1 Denitions and Comments
The joint moment-generating function of X1 , . . . , Xn [also called the moment-generating
function of the random vector
1
Lecture 21. The Multivariate Normal Distribution
21.1 Denitions and Comments
The joint moment-generating function of X1 , . . . , Xn [also called the moment-generating
function of the random vector
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S - TEST 2
Time: 1 hour 30 minutes
Total Marks: 40
Date: 1 October 2009
No. of Pages: 2 (Plus Tables)
1. Describe the following three
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S - TEST 2 SOLUTIONS
1. Principles of experimental design:
(a) Randomization is the process of allocating treatments to experimental u
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S
NOVEMBER 2007 EXAMINATION
INTERNAL EXAMINERS: Mr A Clark, Dr B Erni
INTERNAL ASSESSOR: A. Prof. J Juritz
EXTERNAL EXAMINER: Dr C Lom
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S
NOVEMBER 2010 EXAMINATION
INTERNAL EXAMINERS: Dr K. Leask, Dr B. Erni, Dr J. Nyirenda
EXTERNAL EXAMINER: Prof. N. le Roux
AVAILABLE
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S
NOVEMBER 2008 EXAMINATION
INTERNAL EXAMINERS: Mr A Clark, Dr B Erni
INTERNAL ASSESSOR: Dr F Little
EXTERNAL EXAMINER: Dr C Lombard
A
ix)
Week 5 Tutorial Questions
Consider the following general linear regression model:
anxu :mebmn + em 1) 2,304? [31X] +52% +53qu + Q
where g ~ N(Q, all).
Assume that X is of full rank and that
Induced Hearing Deficit Generates Experimental Paranoia
Author(s): Philip G. Zimbardo, Susan M. Andersen, Loren G. Kabat
Source: Science, New Series, Vol. 212, No. 4502 (Jun. 26, 1981), pp. 1529-1531
Experiment 1
Aim:
To analyse the effects of grades and groupings towards total variation
Model:
this experiment uses the factorial model with interactions
this model is described by the equation
Y i
Experiment 1
Aim:
To analyse the effects of grades and groupings towards total variation
Model:
this experiment uses the factorial model with interactions
this model is described by the equation
=
Experiment 1
Aim:
To analyse the effects of grades and groupings towards total variation
Model:
this experiment uses the factorial model with interactions
this model is described by the equation
=
1.
a. Factors that are involved in this study are grades and grouping where grouping are a blocking
factor and the grades are just a treatment factor
b. Groups have two levels whilst the grades have s
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Regression_project.R
MSWGAB001
2. Introduction
The objective of this project is to make use of variable selection is to select a good linear
model to describe the disease progression after one year. G
1.
a. Factors that are involved in this study are grades and grouping where grouping are a blocking
factor and the grades are just a treatment factor
b. Groups have two levels whilst the grades have s
The Bivariate Normal Distribution
This is Section 4.7 of the 1st edition (2002) of the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The
material in this section was not i
UNIVERSITY OF CAPE TOWN
DEPARTMENT OF STATISTICAL SCIENCES
STA2005S
NOVEMBER 2010 EXAMINATION
INTERNAL EXAMINERS: Dr K Leask, Dr B Erni, Dr J Nyirenda
EXTERNAL EXAMINER: Prof N Le Roux
PAGES: 8 + 6 TA
Improved Learning in a Large-Enrollment Physics Class
Louis Deslauriers, et al.
Science 332, 862 (2011);
DOI: 10.1126/science.1201783
This copy is for your personal, non-commercial use only.
If you wi
STA2005S
Chapter 3 and 4
Allan Clark
[email protected]
Room 5.50
University of Cape Town
August 6, 2013
STA2005S
Condence interval for a particular tted value
1 = P (t/2 t t/2 )
xi xi
= P (t/2
Chap 2
Allan E Clark
Department of Statistical Sciences
University of Cape Town
UCT 2009 1 / 15
Contents
Contents
Yoluca Example
The General Linear
Model
Simple linear regression.
The General linear m
STA2005S
Chapter 1
Allan Clark
[email protected]
Room 5.50
University of Cape Town
July 24, 2013
STA2005S
Aims of the Regression Section
Learn how to program in R.
Understand linear models theory.
STA2005S
Chapter 1
Allan Clark
[email protected]
Room 5.50
University of Cape Town
July 15, 2013
STA2005S
Aims of the Regression Section
Learn how to program in R.
Understand linear models theory.