QUIZ 1
Marks: 1/1
When data are entered into a Minitab Worksheet, each column corresponds to a different
Choose one answer.
a. Observation
b. Population
c. Sample
d. Variable
'
Correct
Marks for this submission: 1/1.
Question 2
Marks: 1/1
A researcher ask

raises for Section 1.1
e .
BUILDER 1
e Situations described in Exercises 1.1 to 1.6:
at are the cases?
at is the variable and is it quantitative or
ategorical?
People in a city are asked if they support a new
Record the percentage change in the price
.a s

FINM1001 Foundations of Finance
Lecture 1
Course Overview and an
Introduction to Financial Markets
1. Course Overview
We will begin the course with a discussion of
financial markets, considering:
The role they serve;
Different ways of classifying financia

Mathematics Revision
Lecture 2
Additional material for the course STAT1008
ANU
What are Sets?
Sets
Sets can include any kind of entity/object
(another way of stating elements of a set) as
long as they are well defined. A set is
generally an abstract conce

STAT1008
Quantitative Research Methods
Introductory Lecture
Semester 2, 2016
Teaching Staf
Lecturer:
Hanlin Shang
Email: [email protected]
Phone: 6125 0535
Office: Room 4.38 ANU College of Business
and Economics (Bldg 26C)
Consultation: 3-5pm on Wed

Mathematics Revision
Lecture 3
Additional material for the course STAT1008
ANU
Combinations
A combination is a way of selecting several
things out of a large group
Ordering does not matter (unlike
permutations)
Example: 3 chairs marked A, B and C. In how

IBDP BIOLOGY (CORE)
CHAPTER 4:ECOLOGY
4.1: SPECIES, COMMUNITIES & ECOSYSTEMS
4.2: ENERGY FLOW
LEARNING OUTCOMES
Students should be able to understand:
Species are groups of organisms that can potentially interbreed to produce
fertile offspring.
Members of

BUSN1001
Business Reporting & Analysis
Week 3: Measuring Financial Performance
(the Income Statement)
Textbook (TCG) - Chapter 3
Revision
Each transaction can be recorded as a debit or a credit
describing the change in the balance sheet account
Assets
De

Assignment 1
Question One:
a) Each row corresponds to a different sample, in this case a salesperson.
Years of experience of salesperson is continuous data. While the data provided are in
integers suggesting that the data is count, given the large size of

LIKE
Sensis
Social Media
Report
May 2015
How Australian people
and businesses are
using social media
TWEET
W
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L
L
FO
SHARE
T
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E
M
COM
www.sensis.com.au/socialmediareport
Join the conversation:
@Sensis #SensisSocial
linkedin.com/company/sensis
Foreword
A

AUSTRALIAN NATIONAL UNIVERSITY
RESEARCH SCHOOL OF FINANCE, ACTUARIAL STUDIES, AND STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
Tutorial - Chapter 3
All questions are from the textbook Statistics - Unlocking the Power of Data.
Section 3.1
1. Skill B

FINM1001 Foundations of Finance
Lecture 2
The Time Value of Money:
An Introduction to Financial Mathematics
1. Lecture Overview
Todays lecture will:
Provide you with an introduction to
financial mathematics; and,
Ensure you have the tools necessary to
cal

IBDP BIOLOGY (CORE)
CHAPTER 3: GENETICS
3.1: GENES
(LECTURE 1)
LEARNING OUTCOMES
Students should be able to understand:
A gene is a heritable factor that consists of a length of DNA &
influences a specific characteristics.
A gene occupies a specific pos

IBDP BIOLOGY (CORE)
CHAPTER 3: GENETICS
3.3: MEIOSIS
LEARNING OUTCOMES
Students should be able to understand:
One diploid nucleus divides by meiosis to produce four haploid nuclei.
The halving of the chromosome number allows a sexual life cycle with
fus

IBDP BIOLOGY (CORE)
CHAPTER 3: GENETICS
3.5: GENETIC MODIFICATION &
BIOTECHNOLOGY
(LECTURE 1: gel electrophoresis & pcr)
LEARNING OUTCOMES
Students should be able to understand:
Gel electrophoresis is used to separate proteins or fragments of DNA
accordi

1sample
means
known
1sampleZtest
Hypothesis
H0:=c
(constant)
(constant)
TS:Z=xc
/n
TS:t=xc
S/n
known
1sample
proportiontest
2sampleZtest
Hypothesis
H0:p=c(constant)
HA:p(,<,>)c
Hypothesis
H0:1=2
HA:12
TS:
TS:
DR: compare to tn1
Assume x is
CI: x Za/2 / n

Section 4.2
Measuring Evidence
with p-values
Statistics: Unlocking the Power of Data
Lock5
Paul the Octopus
http:/www.youtube.com/watch?v=3ESGpRUMj9E
Statistics: Unlocking the Power of Data
Lock5
Paul the Octopus
In 2008, Paul the Octopus predicted 8 Wor

Section 4.4
Creating
Randomization
Distributions
Statistics: Unlocking the Power of Data
Lock5
Randomization Distributions
p-values can be calculated by randomization
distributions:
simulate
samples, assuming H0 is true
calculate the statistic of intere

Section 4.3
Determining
Statistical Significance
Statistics: Unlocking the Power of Data
Lock5
Formal Decisions
If the p-value is small:
REJECT
H0
the sample would be extreme if H 0 were true
the results are statistically significant
we have evidence

Section 4.1
Introducing
Hypothesis Tests
Statistics: Unlocking the Power of Data
Lock5
Extrasensory Perception
Is there such a thing as extrasensory
perception (ESP) or a sixth sense?
Statistics: Unlocking the Power of Data
Lock5
Extrasensory Perception

Section 1.1
The Structure of Data
Statistics: Unlocking the Power of Data
Lock5
Outline
Data
Cases and variables
Categorical and quantitative variables
Explanatory and response variables
Using data to answer a question
Statistics: Unlocking the Power of D

IBDP BIOLOGY (CORE)
CHAPTER 3: GENETICS
3.4: INHERITENCE
(LECTURE 1)
LEARNING OUTCOMES
Students should be able to understand:
Mendel discovered the principles of inheritance with experiments in which
large numbers of pea plants were crossed.
Gametes are

IBDP BIOLOGY (CORE)
CHAPTER 3: GENETICS
3.2: CHROMOSOMES
(LECTURE 1)
LEARNING OUTCOMES
Students should be able to understand:
Prokaryotes have one chromosome consisting of a circular DNA molecule.
Some prokaryotes also have plasmids but eukaryotes do no

Section 3.3
Constructing Bootstrap
Confidence Intervals
Statistics: Unlocking the Power of Data
Lock5
Outline
Bootstrap samples
Bootstrap distribution
Standard error from bootstrap distribution
95% confidence interval using SE from
bootstrap distribution

Selected Dataset Descriptions 697
NutritionStudy
Data on 315 patients undergoing elective surgery from a cross-sectional study to
investigate the relationship between personal characteristics and dietary factors,
and plasma concentrations of retinol, beta

AUSTRALIAN NATIONAL UNIVERSITY
RESEARCH SCHOOL OF FINANCE, ACTUARIAL STUDIES, AND STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
Tutorial - Chapter 2 (Part I)
All questions are from the textbook Statistics - Unlocking the Power of Data.
Section 2.1
1

# R Code for Chapter 2 Slides
#section 2.1
#creating vector of of phone data
phone<-c(rep("Android",458),rep("iPhone",437),rep("Blackberry",141),rep("Non
Smartphone",924),rep("No cell phone",293)
table(phone)
#how many observations
length(phone)
#bar plot