Quiz
How can you generate the same result with
a DO WHILE statement?
data invest;
do until(Capital>1000000);
Year+1;
Capital+5000;
Capital+(Capital*.045);
end;
run;
proc print data=invest noobs;
format capital dollar14.2;
run;
1
Quiz Correct Answer
How co
UNSW SCHOOL OF MATHEMATICS
MATH2871 DATA MANAGEMENT FOR STATISTICAL ANALYSIS
ASSIGNMENT 4
TOTAL MARKS 20 (10% of final grade)
Number of Questions: 3
Due: 3 pm (at beginning of Week 11 lecture)
Please hand-in your assignment with the assignment coversheet.
MATH2871 DATA MANAGEMENT FOR STATISTICAL ANALYSIS
SEMESTER 2, 2013
Lab exercise Week 5
1. Reading a Comma-Delimited Raw Data File.
a. Open p107e01. Add the appropriate LENGTH, INFILE and INPUT statements to read the commadelimited raw data file named, new
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Two
1. Show that the expectation operator E is linear. That is for any a, b R
and random variables X and Y (discrete or continuous), we have
E(a
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Four
1. Show that if X = CY for some matrix C, then
Var(X) = CVar(Y )C > ,
where Var(Y ) = E (Y E[Y ])(Y E[Y ])T is the covariance matrix of
vec
Week 11 - Lecture 1
In the previous lecture, we have studied methods to handle categorical variables using
dummy coding and other coding method. The aim today is to:
Understand the interpretation of coecients in Dummy coding and Eect coding.
Be able to
Auditing General and Application Controls
S. Anantha Sayana, CISA, CIA
Source: ISACA Journal, 2002 Volume 5
http:/www.isaca.org/Journal/Past-Issues/2002/Volume-5/Pages/Auditing-General-and-Application-Controls.aspx
There are many areas and elements of inf
Additional VC case studies
SEEK Ltd
Company name
VC backing firm CHAMP Ventures (AMWIN Innovation Fund). Co-investors include: Macquarie Technology Fund
1A and 1B; and Australasian Media and Communications Fund
Total VC funding A$2.5m
(to date)
Effective
PRIMARY CONTACT DETAILS:
PARTNERS CONTACT DETAILS:
If you are entering as a team, please
complete your partners details below.
First
name:
Surname
:
Fir
st
na
me
:
Surnam
e:
Phone:
Email:
Ph
on
e:
Email:
DOB:
Universit
y:
DO
B:
Universit
y:
Course:
Year:
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Ten
1. Suppose the response is given by y = X + , where N (0, V ) with V
been the covariance matrix of .
(a) Derive the MLE b of .
(b) Show that
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Six
1. Prove the parallelogram law for vectors of dimension n:
kx yk2 + kx + yk2 = 2(kxk2 + kyk2 )
2. Recall that the projection of a vector y o
Week 12 - Lecture 1
Generalized Linear Model - Introduction
Suppose the experiment is set-up so that the response is not a normal random variable, how
do we t a linear model in this situation? One way to do this is the Generalized Linear
Model.
Practical
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Lab Week Seven
1. The following data set comes from A. Cukierman, S.B. Webb and B. Nepagi,
Measuring the Independence of Central Banks and Its Effect on Polic
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Nine
1. The fish.txt contains the variables weight (in grams) and length (in
millimetres) in this data set are the lengths and weights of 23 dif
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Labs Week Eleven
1. In this exercise you have to repeat the results from the tax completion example (discussed in lectures). Three new formats of tax return f
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Twelve
1. The applications of the spectral decomposition of X T X = P DP T . The
OLS (ordinary least squares) estimator of is given by
b = (X T
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Labs Week Thirteen
1. Studies conducted at the University of Melbourne indicate that there may
be a difference between the pain thresholds of blonds and brune
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Labs Week Five
1. The table below shows the number of deaths caused by firearms in Australia
over a number of years expressed as a rate per 100, 000 of popula
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Labs Week Three
The following two questions are from William Mendenhall, A Course in Business
Statistics (Second Edition), PWS-Kent, Boston, 1988.
1. The earn
UNIVERSITY OF NEW SOUTH WALES
SCHOOL OF MATHEMATICS AND STATISTICS
MATH2831 / 2931 Linear Models
Tutorial Week Eight
1. Consider the multiple linear regression model where the response is assume
to be y = X + . The vector Rp is the vector of parameters. S
FINS3623
VentureCapital
Lecture4:PrivateEquityInvestment:Investment
SelectionProcess
1
LectureOutline
Areas of concerns in private firm investments
Risk
Information asymmetry / adverse selection
Agency problems / moral hazard
Some key aspects of VC the in
FINS3623
VentureCapital
Week3FundRaisingandFundStructureII
1
LectureOutline
n
n
Venture Partnerships in Australia
The Use of Covenants
q
n
Venture Capitalists Compensation
q
n
Research Evidence
Research Evidence
Choice of Organisation Form
q
Research Evid
Case Questions for BTF Pty Ltd- An Australian VC-Backed Transaction
1. In what ways did Nanyang Ventures add value to BTF?
2. What is the effect/meaning of the following terms (a) escrow period (b) Drag-along
and Tag-along rights (c) Earn-outs. How would
UNSW SCHOOL OF MATHEMATICS
MATH2871 DATA MANAGEMENT FOR STATISTICAL ANALYSIS
ASSIGNMENT 2
TOTAL MARKS 20 (10% of final grade)
Number of Questions: 2
Due: 3 pm (at beginning of Week 6 lecture)
Please hand-in your assignment with the assignment coversheet.
UNSW SCHOOL OF MATHEMATICS
MATH2871 DATA MANAGEMENT FOR STATISTICAL ANALYSIS
ASSIGNMENT 1
TOTAL MARKS 20 (10% of final grade)
Due: 3pm (at beginning of Week 4 lecture)
Please hand-in your assignment with the assignment coversheet. No coversheet, no mark.
University of New South Wales
School of Accounting
Auditing and Assurance Services
2013
LECTURE 8
Substantive Tests II
Tests of Detail in IT Systems
Substantive Analytical Procedures
Subsequent Events and Going Concern
1
Lecture Summary
In this lecture,
University of New South Wales
Department of Accounting
Auditing and Assurance Services
2013
LECTURE 5
Internal Controls II
Internal Controls in an IT
Environment
Controls in Computerised
Accounting Systems
There are two types of controls.
General controls