POSTGRADUATE
Examination Paper Semester 1, June 2015
102322
QUANTITATIVE METHODS (M)
COMMERCE 7033
Official Reading Time:
Writing Time:
10 mins
180 mins
Total Duration
190 mins
Instructions to Candidate:
1.
This is a Closed Book examination.
2.
You should

Quantitative Methods
One Sample Hypothesis
Tests
David Du
Business School
The University of Adelaide
3510-COMMERCE-COMB-INED-0004-SEMESTER1-2015
Contents
1
2
3
4
5
6
7
Logic of Hypothesis Testing
Statistical Hypothesis Testing
Testing a Mean: Known Popula

Quantitative Methods (M)
2014 Semester 1 Sample Exam
Disclaimer:
Dear Students,
Please be aware that (as the title of this paper suggests) this is only a sample
examination paper. As you are all now aware any sample, including this one, may
potentially su

Quantitative Methods (M)
2014 Semester 1 Sample Exam
Disclaimer:
Dear Students,
Please be aware that (as the title of this paper suggests) this is only a sample
examination paper. As you are all now aware any sample, including this one, may
potentially su

1. A local trucking company fitted a regression to relate the travel time (days) of its shipments
as a function of the distance traveled (miles). The fitted regression is Time = 7.126 + 0.0214
Distance. If Distance increases by 50 miles, the expected Time

Quiz 5 (Week 9)
1. Which of the following is incorrect?
A) The level of significance is the probability of making a Type I error.
B) Lowering both and at once will require higher sample size.
C) The probability of rejecting a true null hypothesis increase

'i Z
+1 72W" (xi/W76
g Chapter 9 One-Sample Hypothesis Tests 34? _
b. Approaching 03H e for landing, a Bri sh Air ight from London has been in a holding
pattern for 45 minutes due to bad weather. Landing is expected within 15 minutes. The
ight crew could

POSTGRADUATE
In Class (Mid-term) Examination Paper
Semester 1, March 2015
QUANTITATIVE METHODS (M) & (H)
3510
COMMMERCE 7033
Dr Kai Du
Given Name: _ Surname:_ Student ID: _
Please circle the name of your tutor and the date of your tutorial
Tutor Name:
Tut

Quiz 4 (Week 7) answer guide
1. The Central Limit Theorem (CLT) implies that
A) the population will be approximately normal if n 30.
B) repeated samples must be taken to obtain normality.
C) the distribution of the mean is approximately normal for large n

1. The position of the median is
A) n/2 in any sample.
B) n/2 if n is even.
C) n/2 if n is odd.
D) (n+1)/2 in any sample.
Answer: D
Feedback: This formula always works for the median position.For example, if n = 10 (even)
the median is at position (10+1)/

The Rule of 10
The Rule of 10
Normal-Binomial Approximation
When is it acceptable to use a normal approximation to the binomial distribution? Various
rules of thumb are in use. Why did Doane-Seward decide to require np 10 (Rule 2) rather
than the less str

Chapter 11 - Analysis of Variance
Chapter 11
Analysis of Variance
11.1
a.
b.
c.
n = total df +1 = 39 + 1 = 40
The number of groups is equal to the between groups d.f. plus 1 or 4 + 1 =5.
H0: A = B = C = D
means are the same
H1: Not all the means are equal

Chapter 05 - Probability
Chapter 5
Probability
5.1
a. S = cfw_(V,B), (V,E), (V,O), (M,B), (M,E), (M,O), (A,B), (A,E), (A,O)
b.Events are not equally likely. Barnes and Noble probably carries more books than other
merchandise.
Learning Objective: 05-1
5.2

Question1
(i)
(a) The advantages of using such questions in a survey will be it can discover
the responses of individuals without any planning and avoid the bias that
may affect the result of the responses.
(b) The disadvantages of using such questions wi

Tutorial 2
1. An investment firm rates bonds for AardCo Inc. as B+ while bonds of Deva Corp. are
rated AA. Which level of measurement would be appropriate for such data?
A) Nominal.
B) Ordinal.
C) Interval.
D) Ratio
Answer: B
2. Which of the following is

Web Resources
Web Resources
The following websites contain classroom tested data sets, demonstration applets, and interesting
applications. We highly recommend spending a bit of time browsing these websites to see what is
available. In addition to the lin

Chapter 12 - Simple Regression
Chapter 12
Simple Regression
12.1
For each sample: H0: = 0 versus H1: 0. The following formula is used to calculate the
n2
test statistic: tcalc r
and tcrit=T.INV(/2,df). Because these are all two-tailed
1 r2
tests the decis

Chapters 5-7 Exam Review Questions
Exam Review Questions
Chapters 5-7
1.
a. Empirical
b. Subjective
c. Classical
2.
a. P(H T) = 40/200 = .20
b. P(S | G) = 50/90 = .45
c. P(S) = 100/200 = .50
3.
If A and B are independent events then P(A) P(B) = P(A B). P(

Chapters 8-10 Exam Review Questions
Exam Review Questions
Chapters 8-10
1.
Statement (a) is incorrect because the Central Limit Theorem applies to X . The population
might not be normal and taking a larger sample of observations will not make the sample
n

In Class Activities
In Class Activities
The instructions for each activity are written for a teaching assistant. These activities are
suitable for small breakout sessions that typically accompany a large lecture course.
They work well for classes of 50 or

Suggested Team Projects
Suggested Team Projects
Note to Instructors:Eachproject has been tested in undergraduate and MBA classes, and has been
found to generate student interest and interesting reports. Adapt projects to your own class needs.
We find that

Chapter 07 - Continuous Probability Distributions
Chapter 7
Continuous Probability Distributions
Calculations are done on Excel except where noted that Appendix Tables are used.
Probabilities are rounded to four decimals. Z scores are typically rounded to

Chapter 16 - Nonparametric Tests
Chapter 16
Nonparametric Tests
16.1
H0: Events follow a random pattern
H1: Events do not follow a random pattern
Because the p-value (.8942) is greater than .05 we fail to reject the null hypothesis of
randomness.
Runs Tes

Chapter 08 - Sampling Distributions and Estimation
Chapter 8
Sampling Distributions and Estimation
8.1
8.2
32
n
4
32
b.
n
16
32
c.
n
64
The standard error is reduced by half.
Learning Objective: 08-1
Learning Objective: 08-4
a.
24
n
9
24
b.
n
26
24
c.
n
1

Chapter 17 - Quality Management
Chapter 17
Quality Management
17.1
a. Productivity is a ratio of output to input and measures efficiency.
b. Quality control refers to methods used to ensure product or service quality.
c. Process control refers to methods

Chapter 10 - Two-Sample Hypothesis Tests
Chapter 10
Two-Sample Hypothesis Tests
10.1
Use the following formulas for each test in (a) (c), substituting the appropriate values.
Check work with LearningStats file 10-03 Calculator - Two Means. You can also us

Chapter 09 - One-Sample Hypothesis Tests
Chapter 9
One-Sample Hypothesis Tests
9.1
a. (.05)(1000) = 50 times
b. (.01)(1000) = 10 times
c. (.001)(1000) = 1 time
Learning Objective: 09-3
9.2
a. Null hypothesis: The man is not having a heart attack. Type I e

Chapter 15 - Chi-Square Tests
Chapter 15
Chi-Square Tests
15.1
a.
b.
c.
d.
e.
f.
g.
H0: Earnings andApproach are independent.
Degrees of Freedom = (r1)(c1) = (41)(31) = 6
CHISQ.INV.RT(.01,6) = 16.81 and test statistic = 127.57.
Test statistic is 127.57 (p

Chapter 13 - Multiple Regression
Chapter 13
Multiple Regression
y = 4.306 0.082ShipCost + 2.265PrintAds + 2.498WebAds + 16.697Rebate%
The coefficient of ShipCost says that each additional $1 of shipping cost reduces
about$ 0.082 from net revenue.
The coef

COMMERCE 7033 QUANTITATIVE METHODS
1.
MULTIPLE LINEAR REGRESSION IN EVIEWS (PART I)
In this workshop, the Eviews software package will be used to estimate a multiple
linear regression model of house prices. Specifically, a model of house prices as a
funct

COMMERCE 7033 QUANTITATIVE METHODS
1.
MULTIPLE LINEAR REGRESSION IN EVIEWS (PART II)
1.1 Data Set Description
This data set contains prices on 500 houses in two different suburbs of Lilliput sold
at auction along with a number of possible explanatory vari