SCHOOL OF FINANCE, ACTUARIAL STUDIES AND APPLIED STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
SEMESTER 1, 2015
Assignment 2
This assignment is worth 10% of your overall course mark. Solutions should be placed in
the STAT1008 assignment box labelled
SCHOOL OF FINANCE, ACTUARIAL STUDIES AND APPLIED STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
SEMESTER 1, 2014
Assignment 3
This assignment is worth 10% of your overall course mark. Solutions should be placed in
the STAT1008 assignment box labelled
RESEARCH SCHOOL OF FINANCE, ACTUARIAL STUDIES
AND APPLIED STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
SEMESTER 1, 2016
Assignment 1
This assignment is worth 15% of your overall course mark. Solutions should be placed in
the STAT1008 assignment box
THE AUSTRALIAN NATIONAL UNIVERSITY
SCHOOL OF FINANCE AND APPLIED STATISTICS
Second Semester Final Examination, November 2006
QUANTITATIVE RESEARCH METHODS (STAT1008)
Study Period: 15 minutes
Time Allowed: 3 hours
Permitted Material: Calculator, dictionary
STAT1008
Section 1
Data collection
Chapter 1 of text
What is Statistics?
awaytogetinformationfromdata
Aframeworkfordealingwithvariability
Awaytomakedecisionsunderuncertainty
Statisticalinference:theproblemofdeterminingthe
behaviourofalargepopulationbystud
SCHOOL OF FINANCE AND APPLIED STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
Tutorial Week 10
Question 1
The number of operators at a call centre depends on the level of use. At random times
over a brief interval, the call centre is checked to see wh
QUANTITATIVE RESEARCH METHODS (STAT1008)
Tutorial Week 2
Part 1: To be completed before attending your class
You should review the lecture slides to date.
Do some research and write a brief summary of each of the 8 types of sampling
techniques mentioned i
SCHOOL OF FINANCE AND APPLIED STATISTICS
QUANTITATIVE RESEARCH METHODS (STAT1008)
Tutorial Week 2 Solutions
Part 3: Examining the data file.
Discussion Question: What type of situation is this a sample or a census? Explain
your answer.
This could be consi
Time Series
(ver. 1.5)
Oscar Torres-Reyna
Data Consultant
[email protected]
http:/dss.princeton.edu/training/
PU/DSS/OTR
Date variable
For date1 type:
gen datevar = date(date1,"DMY", 2099)
format datevar %td /*For daily data*/
For date2 type:
gen date
STAT1008
Section 8
Hypothesis tests for two means (independent samples,
equal variances)
F-test for two variances
Hypothesis tests for paired data
Chapter 10 of text
Two samples
This is the case where we have information on
two different samples each from
STAT1008
Section 9
Regression Analysis,
Introduction to Time Series
Analysis
Chapters 11 and 12 of text
Covariance
Measures the direction of linear relationship
between two (continuous) variables.
Can be positive or negative
Positive: as x increases, y te
STAT1008
Section 4
Continuous Probability Distributions
Some of the material in this section is
discussed in Chapter 6 in text
Discrete vs Continuous Data
Remember: discrete data has a countable
number of possible values discrete
probability distributions
STAT1008
Section 4
Continuous Probability
Distributions
Some of the material in
this section is discussed in
Chapter 6 in text
Discrete vs Continuous
Data
Remember:discretedatahasacountablenumberof
possiblevaluesdiscreteprobabilitydistributionscanbe
putin
STAT1008
Section 2
Variables, Data and Statistics
Textbook: Chapters 2 and 3
Descriptive Statistics
Summarizing and presenting data so that
features of data can be interpreted
Graphical
Numerical
Variables: feature of population which is of
interest, e.g.
Notes for Flowchart
For a one-sample Z test, assume X is normally distributed or x-bar is normally
distributed with large n.
For a one-sample T test, you cannot find sample size.
Second approximation will be valid for the confidence interval calculation
(
1. The time of failure for a continuous operation monitoring
device of air quality has a uniform distribution over a 24
hour day.
a. If a failure occurs on a day when it is daylight between
5.55am and 7.38pm, what is the probability that the
failure will
Lecture Examples Hypothesis tests and confidence intervals
Question 1
Do waiters or waitresses earn larger tips? A restaurant consultant undertook a
preliminary study. Over a four-week period, the percentage of the total bill left as a
tip was measured fo
Question 1
Suppose you enrol in a course where one of the assessment
components is a quiz each teaching day of semester. Each day
you are required to answer a single multiple choice question,
where there are 4 options. You score 1 mark for a correct answe
STAT1008
Section 3
Probability and
Discrete Random Variables
(See Chapters 4 and 5 of text)
Terminology
A random experiment is a process that results
in a number of possible outcomes, none of
which can be predicted with certainty; e.g.
Roll a die: outcome
STAT1008
Quantitative Research Methods
Introductory Lecture
Semester 1, 2015
Teaching Staf
Lecturer: Dr Bronwen Whiting
Email: [email protected]
Phone: 6125 3837 (x53837)
Office: Room 4.31 ANU College of Business
and Economics (Bldg 26C)
Consulta
STAT1008
Section 7
Hypothesis testing
Chapter 9 of text
Statistical Inference
Making decisions in the face of uncertainty
Hypothesis testing is a structure for making these
decisions
We have in mind two competing ideas call these
hypotheses
First idea: n
STAT1008
Section 2
Variables, Data and Statistics
Textbook: Chapters 2 and 3
Descriptive Statistics
Summarizing and presenting data so that
features of data can be interpreted
Graphical
Numerical
Variables: feature of population which is of
interest, e.g.
Section 6 part b
Confidence intervals for a proportion
Textbook page 302 - 304
So what do we know?
We know that by the Central Limit Theorem,
as n, the distribution of the sample mean
becomes Normal, with centre and standard
deviation /n.
This happens reg
1. BASIC STATS
Types of variables:
Count: no of bedrooms/children, manufacture year
Ordinal: categories, income brackets
Nominal: gender, yes/no, manufacture model
Continuous: distance, time, age, best cruising speed
Graphs
Scatterplots: shows if there is
Come to class prepared to discuss the different methods, their merits and
situations in which they may be chosen, as well as their difficulties and
circumstances in which they may not be chosen
Nonprobability sampling
Convenience Sampling
Expert Sampling
U6078529
Summary
China has experienced an enormous shift in gender ratio over the last few decades. Notably,
the strict introduction of the one child policy in 1979, the underlying cultural emphasis on
son preference and a significant drop in fertility ha
Cumulative Distribution Function
Student's t distribution with 34 DF
x
-3.9134
P( X <= x )
0.0002074
Let T= t-critical value(get from graph)
From 2nd step, we have found out that t=-3.9134. Thus, using p-value approach, we find whats the probability
of P(
Probability
Outcomes must be mutually exclusive and collectively exhaustive.
No two outcomes can both occur on any one trial
Each trial must result in one of the outcomes in the sample space
RV:a random variable is a function that assigns a numeric va
1. BASIC STATS
Location of Percentiles
Location of per centiles
Lp
= _th observation
= what figure?
n 1 P
100
N=number of data points;
Lp is the locatio n of the pth percentile .
Mean vs Median
If positive skew, mean > median
Variance
s2
1 n
( X i X )