SCHOOL OF ECONOMICS
FACULTY OF ARTS AND SOCIAL SCIENCES
ECMT1010
Business and Economic Statistics A
Semester 1, 2012
Unit Coordinator: Dr. Jordi McKenzie
Email: [email protected]
Office: Merewether 338
Consultation times: Tuesday 24pm
Class ti
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 1, Week 11)
Lecturer: Timothy Fisher, Simon Kwok
1.
Consider taking samples of size 100 from a population with proportion 0.33.
a. Find the mean of the distribution of sample proportions.
A)
ECMT1010 Workshop 6
Problems
1. (Chapter 7, problem 7.6)
A city's telephone book lists 100 000 people. If the telephone book is the frame for a study,
how large would the sample size be if systematic sampling were done on every 200th person?
2. (Chapter 7
ECMT 1010
Business and Economic
Statistics
Lecture 3: Descriptive Statistics
Learning Objectives
Distinguish between measures of central
tendency, measures of variability, measures of
shape, and measures of association
Understand the meanings of mean, m
Week 2 WorkshopComputer Lab
Business and Economic Statistics A
Descriptive Statistics: Graphical Analysis
Internet resources:
http:/www.ruf.rice.edu/~lane/stat_sim/histogram/index.html shows the effect of varying binwidths  has a variety of data sources.
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 2, Week 7)
Lecturer: Simon Kwok
1.
The New York Lottery has a daily game called "Take Five" where you win prizes based
on how many of the 5 selected numbers match your ticket. The probabilit
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 1, Week 12)
Lecturer: Timothy Fisher, Simon Kwok
1.
Situations comparing two proportions are described. In each case, determine
whether the situation involves comparing proportions for two g
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 2, Week 5)
Lecturer: Simon Kwok
1.
How many times does a person laugh in a day?
Suppose the population parameter is = the average number of laughs of a person in a
day. To estimate the param
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 1, Week 5)
Lecturer: Tim Fisher, Simon Kwok
1.
In this question, we study the proportion p of getting an even number from a toss of a die.
a. Is p a parameter or a statistic?
b. Suppose the
Faculty of Arts and Social Sciences
School:
Economics
Unit of Study:
ECMT1010 Introduction to Economic Statistics
Session:
Semester 2, 2015
Unit o f S tud y O ut lin e
Unit Coordinators
Unit coordinators may be consulted for help with any difficulties you
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 1, Week 10)
Lecturer: Tim Fisher, Simon Kwok
1.
Select the answer closest to the specified areas for a N(0, 1) density.
a. The area to the left of z = 1.52
A) 0.064 B) 0.106 C) 0.936
D) 0.14
Faculty of Arts and Social Sciences
School of Economics
ECMT1010
Business and Economic Statistics A
S eme ste r 2, 2 014
Un it o f S tudy O ut lin e
Unit Coordinator:
Office Location:
Email address:
Consultation Hours:
Class times:
Venue:
Simon Kwok
440 M
ECMT1010 Workshop 3
Problems
1. (Chapter 4, problem 4.2)
Given X = cfw_1, 3, 5, 7, 8, 9,Y = cfw_2, 4, 7, 9 and Z = cfw_1, 2, 3, 4, 7, solvethe following.
a.
b.
c.
d.
e.
f.
g.
h.
i.
X Z = _
X Y = _
X Z = _
X Y Z = _
X Y Z = _
(X Y) Z = _
(Y Z) (X Y) = _
X
THE UNIVERSITY OF SYDNEY
FACULTY OF ARTS & SOCIAL SCIENCES
Business and Economic Statistics A
ECMT1010
MidTerm Exam
VERSION A
CONFIDENTIAL
Family Name:
First Names:
Student ID No.:
April 2012
Time allowed: 90 minutes
Instructions

Write your family name
Chapter 9
Statistical Inference:
Hypothesis Testing for
Single Populations
1
Learning Objectives
Understand the logic of hypothesis testing, and know
how to establish null and alternate hypotheses
Understand Type I and Type II errors, and know how to
so
Chapter 13
Simple Regression
Analysis
1
Learning Objectives
Compute the equation of a simple regression line from a
sample of data, and interpret the slope and intercept of the
equation
Understand the usefulness of residual analysis in testing the
assum
Chapter 4
Probability
1
Learning Objectives
Comprehend the different ways of assigning
probability
Understand and apply marginal, union, joint,
and conditional probabilities
Select the appropriate law of probability to use
in solving problems
Solve pr
University of Sydney
ECMT1010 Tutorial Questions (2014, Semester 2, Week 6)
Lecturer: Simon Kwok
1.
a.
b.
c.
d.
e.
f.
g.
h.
i.
2.
Given X = cfw_1, 3, 5, 7, 8, 9, Y = cfw_2, 4, 7, 9 and Z = cfw_1, 2, 3, 4, 7. Find:
X or Z.
X and Y.
X and Z.
X or Y or Z.
X
Mark
Grade
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28 F
29 F
29 F
29 F
32 F
34 F
36 F
36 F
37 F
38 F
40 F
40 F
40 F
40 F
40 F
40 F
42 F
42 F
43 F
43 F
44 F
ECMT1010 Workshop 2
The questions with chapter references were taken from the second edition of Black et. al.
Problems
1. (Chapter 1, problem 1.6)
Classify each of the following as nominal, ordinal, discrete or continuous data.
a.
b.
c.
d.
e.
f.
g.
h.
i.
ECMT1010 Semester 1 2013 Workshop 1 Excel Tutorial
Introduction
Modern statistical analysis is greatly facilitated by the use of computers that allow us to
analyse large data sets quickly and cheaply. By far the most commonly used program for
such analysi
Online Homework 6
starts: today @ 1.00pm
ends:
next Monday @ 5.00pm
access:
value:
Online Homework
02% of final mark
Written Assignment
Available on the blackboard
Read the instructions carefully
Deadline for submission:
5pm, 31 October (Friday)
2
Toda
Online Homework 7
starts: today @ 1.00pm
ends:
next Monday @ 5.00pm
access:
value:
Online Homework
02% of final mark
Todays outline inference for means
and proportions
sample proportion (p)
standard error and CLT for a sample proportion (Section 6.1)
c
Online Homework 5
starts: today @ 1.00pm
ends:
6 October @ 5.00pm
access:
value:
Online Homework
02% of final mark
Todays outline
Hypothesis Testing (sections 4.14)
null and alternative hypothesis
randomization distribution and pvalue
interpreting pva
Written Assignment
available on BB now
statistical analysis of wage data
you must use your assigned Excel data set
denoted by the last digit of your SID
e.g., 200465765 would use wages5.xlsx
due 5.00pm Friday 31 October
1. electronic copy submitted
Written Assignment
available on BB now
statistical analysis of wage data
you must use your assigned Excel data set
denoted by the last digit of your SID
e.g., 200465765 would use wages5.xlsx
due 5.00pm Friday 31 October 2014
1. electronic copy submi
Chapter 7
Sampling and Sampling
Distributions
1
Learning Objectives
Determine when to use sampling instead of a
census
Distinguish between random and nonrandom
sampling
Decide when and how to use various sampling
techniques
Be aware of the different t
Chapter 3
Descriptive Statistics
1
Learning Objectives
Distinguish between measures of central
tendency, measures of variability, measures of
shape, and measures of association
Understand the meanings of mean, median,
mode, quartile, percentile, and ran
ECMT1010 Workshop 2
Problems
1. (Chapter 3, problem 3.4)
Compute the mean for the following numbers.
2. (Chapter 3, problem 3.8)
The following table presents New Zealand's top 15 trading partners classified according to
export value for 2007. Compute the
Chapter 2
Charts and Graphs
1
Learning Objectives
Recognise the difference between grouped and
ungrouped data
Construct a frequency distribution
Construct a histogram, a frequency polygon, an
ogive, a pie chart, a stem and leaf plot, a Pareto
chart, an
SEMESTER
ECMT1010 INDEPTH NOTES
BUSINESS AND ECONOMIC STATISTICS A
1
Lecture 1:
Collecting Data
Read 1.1 and 1.2 of statistics textbook
Week 1
1.1 The Structure of Data
INTRODUCTION TO STATISTICS
Statistics is the science o
population
sample
DATA
1
Association versus Causation
Two variables are associated if values of
one variable tend to be related to values of
the other variable
Two variables are causally associated if
changing the value of the explanatory
variable influen
Midsemester Exam
Wednesday 20 April @ 6.00pm
Bosch Building 1A (D04), Western Avenue
Family name
A to G
H to L
M to S
T to Z
Venue
Bosch Lecture Theatre 1
Bosch Lecture Theatre 2
Bosch Lecture Theatre 3
Bosch Lecture Theatre 4
Is there such a thing as ext
Online Homework 1
starts: today @ 5.00pm
ends:
access:
value:
next Wednesday @ 5.00pm
Online Homework
02% of final mark
IMPORTANT you must allow pop ups in your
browser (Google to find browser settings)
ISSUES contact Jackson Dibble at [email protected]
ECMT 1010
Introduction to Economic Statistics
Semester 1, 2016
Tim Fisher
1
Software
StatKey: http:/www.lock5stat.com/statkey
Excel with
Analysis ToolPak (Windows) or
StatPlus:mac LE (Mac)
2
Assessment
Task
Due date and time
Weighting
Online Homework