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Description
In this activity, you will analyze and study the subject presented
and compose a written response addressing the questions posed.
The response should involve research of the subject identified
below. In this activity you will use a template in Word® and
replace the content with your response while preserving the
outline formatting. You will also practice the first few stages of
essay writing which includes organizing ideas into main topics
and subtopics in outline format. The final deliverable for this
assignment is an outline of an essay in development. You will
not turn in a completed essay, just the outline. Prior to starting,
read the entire assignment below.
Instructions
Preparing
1. Save this example template to your computer (.docx). Open
the file and read the document. You will use this document for
this activity.
2. Next, review the materials and content below. As you do,
take notes of main ideas and supporting points on a piece of
paper.
3. When ready to begin the outline in Word, enter information
such as the title, your name, etc. into the file. Enter the name of
your essay in all capitals within the page header.
Write the outline
1. For the remainder of the outline, the content must
contain only your words. Do not quote, paraphrase or borrow
content from the sources. Close all source materials before
starting. Again, use only your words here. This is not about
trying to sound like an expert. Just organize your thoughts and
represent them on the outline.
2. Enter your thesis at the top of the first page in sentence
format. Think of a thesis statement as a one sentence summary
of the essay.
3. Enter a blank space for the introduction. It is suggested to
write the introduction after the body and conclusion sections are
complete. Many authors prefer this method so you are asked to
give it a try here.
4. Enter the main ideas and then under each enter the subtopics
in sentence format (this should not be paragraphs). Feel free to
delete the existing outline prior to starting.
5. Add a conclusion section also in outline format.
6. The final paper outline must be at least 1.5 pages long. A
little longer than that is fine but the response should not be less
than 1.5 pages.
Case Information
Computer Input-Output Technologies that Link Pilots and Air
Traffic Controllers
Both the Federal Aviation Administration (FAA) and
Eurocontrol (Europe’s FAA) actively research, experiment with,
and deploy technologies in order to create a safer and more
efficient airspace system.
An example is Controller-Pilot Data Link Communications
(CPDLC), which in addition to the existing radio, creates a
second channel for communication between pilots and air traffic
controllers (ATC). Instead of keying the radio, ATC and pilots
type instructions and requests and send via text messaging. This
reduces ATC workload and frees up the radio channels for
important communications.
Figure 1 illustrates The Datalink Control and Display Unit
(DCDU) on an Airbus A330, the pilot interface for CPDLC
messages. Source Wikimedia (Links to an external site.)Links to
an external site..
Case Study Resources
The following are resources to help you with your Case Study
paper.
· Federal Aviation Administration. (2017, December 13). Data
Communications. Retrieved
from: https://www.faa.gov/nextgen/where_we_are_now/nextgen
_update/progress_and_plans/data_comm/ (Links to an external
site.)Links to an external site.
· Kaminski-Morrow, D. (2017, January 11). Crew caution
advised over latent CPDLC message risk. Flightglobal. Retrived
from: https://www.flightglobal.com/news/articles/crew-caution-
advised-over-latent-cpdlc-message-risk-444057 (Links to an
external site.)Links to an external site.
· Ruben, B.F. (2017, June 11). Pilot text messages are saving
you from flight delays. CNET. Retrieved
from: https://www.cnet.com/news/pilot-text-messages-are-
saving-you-from-flight-delays (Links to an external site.)Links
to an external site.
· Skybrary. (2017). CPDLC General Safety Considerations.
Retrieved
from: https://www.skybrary.aero/index.php/CPDLC_General_S
afety_Considerations (Links to an external site.)Links to an
external site.
· What is CPDLC? (YouTube/2:08)
Case Study Question:
What are some of the current issues or risks facing the
deployment of controller – pilot data link communications
(CPDLC) in the United States?
Description
In this activity, you will analyze and study the subject presented
and compose
a wri
tten response addressing the questions posed. The response
should
involve research of the subject identified below. In this activity
you will use a
template in Word
®
and replace the content with your response while
preserving the outline formatting. You wi
ll also practice the first few stages of
essay writing which includes organizing
ideas into main topics and subtopics
in outline format. The final deliverable for this assignment is an
outline of an
essay in development. You will not turn in a completed es
say, just the outline.
Prior to starting, read the entire assignment below.
Instructions
Preparing
1.
Save this
example template
to your computer (.docx). Open the file and
read the document. You will use this document for this activity.
2.
Next, review the materials and content below. As you do, take
notes of
main ideas and supporting points on a piece of paper.
3.
When ready to begin th
e outline in Word, enter information such as the
title, your name, etc. into the file. Enter the name of your essay
in all
capitals within the page header.
Write the outline
1.
For the remainder of the outline, the content
must contain
only
your words.
Do no
t quote, paraphrase or borrow content from the
sources. Close all
source materials before starting. Again, use only your words
here. This is
not about trying to sound like an expert. Just organize your
thoughts and
represent them on the outline.
2.
Enter your
thesis
at the top of th
e first page in sentence format.
Think
of a
thesis statement as a one sentence summary of the essay.
3.
Enter a blank space for the introduction
. It is suggested to write the
introduction after the body and conclusion sections are
complete. Many
authors prefer this method so you are as
ked to give it a try here.
4.
Enter the main ideas and then under each enter the subtopics in
sentence
format (this should not be paragraphs). Feel free to delete the
existing
outline prior to starting.
5.
Add a conclusion section also in outline format.
6.
Th
e final paper outline must be at least
1.5 pages long
. A little longer
than that
is fine but the response should not be less than 1.5 pages.
Description
In this activity, you will analyze and study the subject presented
and compose
a written response addressing the questions posed. The response
should
involve research of the subject identified below. In this activity
you will use a
template in Word
®
and replace the content with your response while
preserving the outline formatting. You will also practice the
first few stages of
essay writing which includes organizing ideas into main topics
and subtopics
in outline format. The final deliverable for this assignment is an
outline of an
essay in development. You will not turn in a completed essay,
just the outline.
Prior to starting, read the entire assignment below.
Instructions
Preparing
1. Save this example template to your computer (.docx). Open
the file and
read the document. You will use this document for this activity.
2. Next, review the materials and content below. As you do,
take notes of
main ideas and supporting points on a piece of paper.
3. When ready to begin the outline in Word, enter information
such as the
title, your name, etc. into the file. Enter the name of your essay
in all
capitals within the page header.
Write the outline
1. For the remainder of the outline, the content must contain
only your words.
Do not quote, paraphrase or borrow content from the sources.
Close all
source materials before starting. Again, use only your words
here. This is
not about trying to sound like an expert. Just organize your
thoughts and
represent them on the outline.
2. Enter your thesis at the top of the first page in sentence
format. Think of a
thesis statement as a one sentence summary of the essay.
3. Enter a blank space for the introduction. It is suggested to
write the
introduction after the body and conclusion sections are
complete. Many
authors prefer this method so you are asked to give it a try here.
4. Enter the main ideas and then under each enter the subtopics
in sentence
format (this should not be paragraphs). Feel free to delete the
existing
outline prior to starting.
5. Add a conclusion section also in outline format.
6. The final paper outline must be at least 1.5 pages long. A
little longer
than that is fine but the response should not be less than 1.5
pages.
1
BBS300 Empirical Research Methods for Business
Murdoch University
TSA - 2018
Dr. Naser Alziyadat
Assignment 2
Due on 8 November before 23:55.
This Assignment is worth 20 marks after being rescaled from
100. Your solutions should be properly
presented, and it is important that you double-check your
spelling and grammar and thoroughly
proofread your assignment before submitting. Instructions for
assignment submission are presented
in the “Assignment 2” link and must be strictly adhered to. No
marks will be awarded to assignments
that are submitted after the due date and time. All analyses must
be carried out using SPSS, and no
marks will be awarded for assignment questions where SPSS
output supporting your answer is not
provided.
Dataset to be used in the analysis
The dataset is provided in SAV format that can be run using
SPSS. You can access the data file
(Resalestatemarket_1.SAV) from the LMS below Assignment 2
in Session 8. The following are the
details of the data:
1. Data was collected from the real estate market of a specific
suburb in Australia.
2. Data consists of both scale and categorical/ordinal variables.
3. The description of the variables table is annexed to this file.
Useful resources to complete this assignment
1. The all the resources in seminars 1-7.
Questions and Marking Guidelines
Question Details Marks
1. A client wants to have her house
listed for sale by a real estate
agent. The client has no idea how
to predict the house price. The
agent informed her that the
weekly rent usually predicts the
house price. You want to check
how well the weekly rent predicts
the house price.
a. What technique are you going to
use? Why?
b. List and define the assumptions
that are needed to be considered
before deciding to interpret the
results of your analysis.
c. Provide the required assurance
that your data have not breached
the assumptions of that technique.
d. Regardless of the results you got
relevant to the assumptions,
interpret and report the results of
the statistical technique in terms of
the model/formula you have, the
magnitude, coefficient(s), and the
significance of the results.
Note: you need to paste the table(s) of the
results in your word doc (answer file).
5
12
8
10
2
2. A client wants to have her house
listed for sale by the real estate
agent. The client has no idea how
to predict the house price. The
agent informed her that the house
price is usually predicted by the
number of bedrooms, number of
bathrooms, weekly rent, rental
return, area and condition of the
house. You need to check how well
those variables predict the house
price.
a. What technique are you going to
use? Why?
b. List the assumptions that are
needed to be considered before deciding
to interpret the results of your analysis.
c. Provide the required assurance
that your data have not breached the
assumptions of that technique.
d. Regardless of the results you got
relevant to the assumptions, interpret and
report the results of the statistical
technique in terms of the model/formula
you have, the magnitude, coefficient(s),
and the significance of the results.
Note: you need to paste the table(s) of the
results in your word doc (answer file).
5
4
12
14
3. Based on the results you got in
your answer to question 2, the
Licensee Manager of the real
estate agency proposed to
control/adjust for street appeal
and age of the house before you
enter the variables that were
significantly associated with the
house price (as per the results of
your answers to Question 2).
a. What technique are you going to
use? Why?
b. Regardless of the results you got
relevant to the assumptions, interpret and
report the results of the statistical
technique in terms of the model/formula
you have, the magnitude, coefficient(s),
and the significance of the results.
Note: you need to paste the table(s) of the
results in your word doc (answer file).
7
15
cture, clarity, and tidiness of
presented solutions/answers; and
grammar.
8
Total 100
Variable Descriptions
Price Selling price of house in $'000
Rooms Number of main rooms in the house
Lot Size Area of the block of land (lot) in square metres
Age Age of the house in years
Area Area of the house in square metres
Material Timber = 1, Veneer = 2, Brick = 3
To Train Distance of the house to the nearest train station
(kilometres)
To Bus Distance of the house to the nearest bus stop
(kilometres)
To Shops Distance of the house to the nearest shopping centre
(kilometres)
Street Street appeal as evaluated by the real estate agency:
ranges from 0 (lowest appeal) to 10 (highest appeal)
Storeys Number of storeys or levels in the house
Style Traditional Style = 0, Non-Traditional Style = 1
3
Bedrooms Number of bedrooms
Bathrooms Number of bathrooms
Kitchen Style of kitchen: Adequate = 0, Modern = 1
Heating Central or other heating system installed: No Heat = 0,
Yes Heat = 1
AirCon Air conditioning installed: No AC (No AirCon) = 0, AC
(Yes AirCon) = 1
Bay Views Proportion of views of the Bay from a prominent
part of the property:
ranges from 0 = Nil views up to 1 = Full views
Suburb Three different suburbs: 1 = Suburb A, 2 = Suburb B, 3
= Suburb C
Weekly Rent $ Actual or estimated weekly rent in $.
Rental Return % Annual rate of return from rent income
(Weekly rent x 52)/(Price in $'000) as a percentage (%)
Condition The condition of the house in general. Very Poor = 1,
Poor = 2, Good = 3, Excellent = 4
Rental Status Vacant (available for rent) = 1; Rented (currently
rented) = 2; Owner (occupied by owner) = 3
Empirical Research Methods for Business
Q1a) Price
The total samples are 120 and SPSS REGARD 100% of the
observations.
The mean amount of house in AUD (In $000s) is 886.575 based
on descriptive statistics with a standard error of 29.6344 from
the mean of the population. The confidence interval of the mean
between the upper bound of 945.3116 and the lower bound of
827.8384 is 95%.
The mean value is 886.5750 which is very close to the trimmed
mean value which is 876.7778. Through this, it shows that there
is a very small impact of the extreme values. 852.000 is the
median cost of the house which shows that the distribution
score is skewed slightly towards the lower end of the
distribution with 0.426 as the value as shown in the table on the
left side. 1761.00 is the maximum value of a house in a
population while 192.00 is the minimum value of a house in the
population. 324.94666 is the value of the standard deviation
which is slightly high in this phenomenon therefore, it means
that the prices of the houses are spread out over a wide range of
values.
The box plot here shows that the distribution is skewed towers
the left of the distribution graph this is because the box is closer
towards the lower end of the graph. Therefore, there is also an
individual large outlier, which is at the top of the line.
The significance of Kolmogorov-Smirnov is shown at 0.200 and
the significance of Shapiro-Wilk is at 0.116 as for the normality
test. The data can be stated to be normal distributed since both
of the values are above 0.05.
The histogram is not normally distributed and is skewed more
towards the left and it is asymmetric.
In conclusion, the indicated value of each house which is
plotted against the expected value of the normal distribution
does not bring a reasonably straight line therefore, indicating
that it’s not a normal distribution.
1b) Lot Size
100% of the observations are regarded by SPSS whereby the
total samples are 120 as for the Lot size for the houses.
The mean size of the house in the data set is 1175.2250 which is
suggested by the descriptive statistics for the Lot Size 34.041
being the standard error from the mean of the population.
Between the upper bound of 1242.6296 and the lower bound of
1107.8204 there is a confidence interval of 95%.
1161.3796 is the trimmed mean value which is closer to
1174.2250 which is the mean value. It communicates that there
is a small level of impact of the extreme values. Since the
distribution score is skewed towards the lower end of the
distribution, therefore the median size of the house is 980.00
having a value of 0.838 as indicated in the figure on the left.
The maximum size of a house in the dataset is 1950.00 while its
minimum size is 632.00.The sizes of the houses varies over a
wide range of sizes since the standard deviation is rather higher
in this phenomenon and that is 372.90043.
Since the box is closer towards the lower end of the graph
therefore the box plot shows that the distribution is skewed
towers the left of the distribution graph. This means that there
are no outliers.
The significance of Kolmogorov-Smirnov is suggested to be at
0.000 while the significance of Shapiro-Wilk is at 0.000 since
both of these values are below 0.05 hence this is for the
normality test. Therefore, the data is regarded to be not
normally distributed
The histogram shows that is asymmetric and skewed more
towards the left as left side of the graph shows extremities at
the left therefore it is not normally distributed.
Since the line is not straight, it shows that it is not a normal
distribution because the QQ plot shows a large number datasets
falling out of the line when plotted against the expected value
of the normal distribution therefore it shows that it is not a
normal distribution.
Q1c) Material
Material
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Timber
45
37.5
37.5
37.5
Veneer
36
30.0
30.0
67.5
Brick
39
32.5
32.5
100.0
Total
120
100.0
100.0
The data from the dataset cannot be measured since the material
is considered nominal scale. Out the entire population from the
descriptive stats since materials is considered to be nominal
scale, the data from the dataset cannot be measure of
120houses, 45 houses, use timber which is equivalent to 37.5%
of the population, 36houses use Veneer, which is 30% of the
population. The rest of the 39 houses brick is the material used
which is 32.5%.
Condition
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Very Poor
15
12.5
12.5
12.5
Poor
40
33.3
33.3
45.8
Good
42
35.0
35.0
80.8
Excellent
23
19.2
19.2
100.0
Total
120
100.0
100.0
Q1d) Condition
The data set cannot be measured since the condition of the
houses is considered ordinal. 15 houses are in poor condition
which makes up 12.5% of the population of 120 houses. 40
houses are in poor condition making up 33.3% of the
population, the majority of the houses are in good condition
with a total up to 42 of them making up 35% of the population.
Finally, 23 houses are in excellent condition making 19.2% of
the total population.
Q2)
The value of significance of K Kolmogorov-Smirnov is 0.01
while the value of significance of Shapiro-Wilk is 0.002
according to results from the normality test for distance to train.
This indicates that it is not normally distributed since both
values are less than 0.05.
Since a large portion of the values goes to high extremes, then
the histogram to distance to Train appears to be asymmetric.
Therefore, it shows that it is not normally distributed.
Correlations
Price
To Train
Price
Pearson Correlation
1
.003
Sig. (2-tailed)
.974
N
120
120
To Train
Pearson Correlation
.003
1
Sig. (2-tailed)
.974
N
120
120
The Pearson Correlation shows that there is a very weak
relationship between the distance to the train and also including
the price of the houses.
The distance to the train station rarely can affect the price of
the houses.
By using the scatter plot for further test the hypothesis, it is
indicated that there is a weak linear relationship between the
distance of the house to the train station and the prices of the
house.
Since both the results show that the significance is zero then, as
per the normality test, Kolmogorov-Smirnov and Shapiro-Wilk
normality test, it is indicated that it is not normally distributed.
The Histogram for distance to bus station is not normally
distributed since it appears to be asymmetric since there are
large extremities at both ends of the graph.
Correlations
Price
ToBus
Price
Pearson Correlation
1
-.024
Sig. (2-tailed)
.796
N
120
120
ToBus
Pearson Correlation
-.024
1
Sig. (2-tailed)
.796
N
120
120
Per the Pearson Correlation results between the distances to the
bus station to the price of the house shows that there are a very
weak negative relationship at only negative 0.024.
The Scatter Plot results of the distance to the bus stations and
the prices of the houses indicate that the data points are spread
unevenly on the diagram with no patterns. Therefore, there is a
very weak linear relationship and little correlation too.
Q3)
Cronbach’s Alpha from reliability statistic indicates 0.923 as a
result. Since 0.923 values is above 0.9 then it is regarded to
have an excellent level of internal consistency of scale.
Moreover, by eliminating one or more variables the reliability
of the statistic can be increased.
By through deleting Q8 which is the highest value at 0.928, will
further increase the Cronbach’s Alpha value.
Through deleting off Q8 results in the Cronbach’s Alpha an
increase to 0.926 from 0.923 is significant. Though it is being
considered to be an excellent level of internal consistency of
scale, therefore, the value can be increased by eliminating off
another variable.
To increase the Cronbach’s Alpha value, while judging from the
dataset, Q11 would be the highest value at 9.13, deleting this
variable, will increase Cronbach’s Alpha value.
When you delete both variables Q8 and Q11 the Cronbach’s
Alpha value will increase to 0.931 from 0.926.
Since the Cronbach’s Alpha is above 0.9, it is considered to
have an excellent level of internal consistency of scale and
eliminating off a variable to increase the Cronbach’s Alpha
value is not allowed. If that happens then the dataset suggest
that the next variable to eliminate off would be Q9.
Running head: TITLE OF PAPER 1
TITLE OF PAPER 2
Title of Paper
Student Name
University
Title of Paper
Thesis: Begin with your thesis statement which is the first
section of the outline. It is an introduction to what your paper
or presentation are about and sets the stage for the listener or
reader. The thesis statement is the central idea of the paper and
it is recommended that be written as a complete sentence. The
thesis statement should indicate the point of view or argument
that you are making regarding the topic. Remember to double
space everything.
I. Major points should receive upper case Roman numerals and
should appear as far to the left as your computer will allow you
to put them.
a. Subpoints are indented.
b. Please remember that if you have a I, you must also have a II.
i. If you have an “a”, you must also have a “b”.
ii. If you have a 1, you must also have a 2, and so forth.
1. Of course, having an "a" means that you must also have a
"b."
2. See the meaning? Outlines observe a principle of
parallelism.
II. And then you give another main point at the left margin.
a. The farther to the left an item appears, the more general it
will be.
b. The farther to the right a point appears, the more specific it
will be.
c. Thus areas of white space on your outline provide a key to
understanding the relationships between assertions related to the
thesis (topic sentences) and information that supports those
assertions.
III. Furthermore, the outline assignment gives you an
opportunity to organize your argument before you cast it in a
full draft, which would be the next step in the writing process.
a. You will be able to see the relationships between ideas more
easily.
b. You should also be able to notice if parts of the outline are
out of place.
c. In short, the outline assignment enables you to show me your
project at a stage when problems are highly fixable.
d. I strongly encourage you to take the fullest possible
advantage of this opportunity to further your thinking and to get
feedback.
IV. Finally, include a conclusion to draw ideas together.
a. Think of your essay as if it were a circle. You started at one
point and now (in the conclusion) you need to bring everything
back around again to complete the loop.
b. Techniques a student can use to craft a strong conclusion
include:
i. Restate and re-affirm your position.
ii. Offer a solution to a problem.
iii. Make a recommendation for a course of action.
iv. Summarize your major points.
v. Restate your thesis.
c. And, again, if you have an “a”, make sure that you have a
“b”.
Running head:
TITLE OF PAPER
1
Title of Paper
Student Name
University
Running head: TITLE OF PAPER 1
Title of Paper
Student Name
University

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  • 1. Description In this activity, you will analyze and study the subject presented and compose a written response addressing the questions posed. The response should involve research of the subject identified below. In this activity you will use a template in Word® and replace the content with your response while preserving the outline formatting. You will also practice the first few stages of essay writing which includes organizing ideas into main topics and subtopics in outline format. The final deliverable for this assignment is an outline of an essay in development. You will not turn in a completed essay, just the outline. Prior to starting, read the entire assignment below. Instructions Preparing 1. Save this example template to your computer (.docx). Open the file and read the document. You will use this document for this activity. 2. Next, review the materials and content below. As you do, take notes of main ideas and supporting points on a piece of paper. 3. When ready to begin the outline in Word, enter information such as the title, your name, etc. into the file. Enter the name of your essay in all capitals within the page header. Write the outline 1. For the remainder of the outline, the content must contain only your words. Do not quote, paraphrase or borrow content from the sources. Close all source materials before starting. Again, use only your words here. This is not about trying to sound like an expert. Just organize your thoughts and represent them on the outline. 2. Enter your thesis at the top of the first page in sentence format. Think of a thesis statement as a one sentence summary of the essay. 3. Enter a blank space for the introduction. It is suggested to
  • 2. write the introduction after the body and conclusion sections are complete. Many authors prefer this method so you are asked to give it a try here. 4. Enter the main ideas and then under each enter the subtopics in sentence format (this should not be paragraphs). Feel free to delete the existing outline prior to starting. 5. Add a conclusion section also in outline format. 6. The final paper outline must be at least 1.5 pages long. A little longer than that is fine but the response should not be less than 1.5 pages. Case Information Computer Input-Output Technologies that Link Pilots and Air Traffic Controllers Both the Federal Aviation Administration (FAA) and Eurocontrol (Europe’s FAA) actively research, experiment with, and deploy technologies in order to create a safer and more efficient airspace system. An example is Controller-Pilot Data Link Communications (CPDLC), which in addition to the existing radio, creates a second channel for communication between pilots and air traffic controllers (ATC). Instead of keying the radio, ATC and pilots type instructions and requests and send via text messaging. This reduces ATC workload and frees up the radio channels for important communications. Figure 1 illustrates The Datalink Control and Display Unit (DCDU) on an Airbus A330, the pilot interface for CPDLC messages. Source Wikimedia (Links to an external site.)Links to an external site.. Case Study Resources The following are resources to help you with your Case Study paper. · Federal Aviation Administration. (2017, December 13). Data Communications. Retrieved
  • 3. from: https://www.faa.gov/nextgen/where_we_are_now/nextgen _update/progress_and_plans/data_comm/ (Links to an external site.)Links to an external site. · Kaminski-Morrow, D. (2017, January 11). Crew caution advised over latent CPDLC message risk. Flightglobal. Retrived from: https://www.flightglobal.com/news/articles/crew-caution- advised-over-latent-cpdlc-message-risk-444057 (Links to an external site.)Links to an external site. · Ruben, B.F. (2017, June 11). Pilot text messages are saving you from flight delays. CNET. Retrieved from: https://www.cnet.com/news/pilot-text-messages-are- saving-you-from-flight-delays (Links to an external site.)Links to an external site. · Skybrary. (2017). CPDLC General Safety Considerations. Retrieved from: https://www.skybrary.aero/index.php/CPDLC_General_S afety_Considerations (Links to an external site.)Links to an external site. · What is CPDLC? (YouTube/2:08) Case Study Question: What are some of the current issues or risks facing the deployment of controller – pilot data link communications (CPDLC) in the United States? Description In this activity, you will analyze and study the subject presented and compose a wri tten response addressing the questions posed. The response
  • 4. should involve research of the subject identified below. In this activity you will use a template in Word ® and replace the content with your response while preserving the outline formatting. You wi ll also practice the first few stages of essay writing which includes organizing ideas into main topics and subtopics in outline format. The final deliverable for this assignment is an outline of an essay in development. You will not turn in a completed es say, just the outline. Prior to starting, read the entire assignment below. Instructions Preparing 1. Save this example template to your computer (.docx). Open the file and read the document. You will use this document for this activity. 2. Next, review the materials and content below. As you do, take notes of
  • 5. main ideas and supporting points on a piece of paper. 3. When ready to begin th e outline in Word, enter information such as the title, your name, etc. into the file. Enter the name of your essay in all capitals within the page header. Write the outline 1. For the remainder of the outline, the content must contain only your words. Do no t quote, paraphrase or borrow content from the sources. Close all source materials before starting. Again, use only your words here. This is not about trying to sound like an expert. Just organize your thoughts and represent them on the outline. 2. Enter your
  • 6. thesis at the top of th e first page in sentence format. Think of a thesis statement as a one sentence summary of the essay. 3. Enter a blank space for the introduction . It is suggested to write the introduction after the body and conclusion sections are complete. Many authors prefer this method so you are as ked to give it a try here. 4. Enter the main ideas and then under each enter the subtopics in sentence format (this should not be paragraphs). Feel free to delete the existing outline prior to starting. 5. Add a conclusion section also in outline format. 6. Th e final paper outline must be at least 1.5 pages long . A little longer
  • 7. than that is fine but the response should not be less than 1.5 pages. Description In this activity, you will analyze and study the subject presented and compose a written response addressing the questions posed. The response should involve research of the subject identified below. In this activity you will use a template in Word ® and replace the content with your response while preserving the outline formatting. You will also practice the first few stages of essay writing which includes organizing ideas into main topics and subtopics in outline format. The final deliverable for this assignment is an outline of an essay in development. You will not turn in a completed essay, just the outline. Prior to starting, read the entire assignment below. Instructions Preparing 1. Save this example template to your computer (.docx). Open the file and read the document. You will use this document for this activity. 2. Next, review the materials and content below. As you do, take notes of main ideas and supporting points on a piece of paper. 3. When ready to begin the outline in Word, enter information such as the
  • 8. title, your name, etc. into the file. Enter the name of your essay in all capitals within the page header. Write the outline 1. For the remainder of the outline, the content must contain only your words. Do not quote, paraphrase or borrow content from the sources. Close all source materials before starting. Again, use only your words here. This is not about trying to sound like an expert. Just organize your thoughts and represent them on the outline. 2. Enter your thesis at the top of the first page in sentence format. Think of a thesis statement as a one sentence summary of the essay. 3. Enter a blank space for the introduction. It is suggested to write the introduction after the body and conclusion sections are complete. Many authors prefer this method so you are asked to give it a try here. 4. Enter the main ideas and then under each enter the subtopics in sentence format (this should not be paragraphs). Feel free to delete the existing outline prior to starting. 5. Add a conclusion section also in outline format. 6. The final paper outline must be at least 1.5 pages long. A little longer than that is fine but the response should not be less than 1.5 pages.
  • 9. 1 BBS300 Empirical Research Methods for Business Murdoch University TSA - 2018 Dr. Naser Alziyadat Assignment 2 Due on 8 November before 23:55. This Assignment is worth 20 marks after being rescaled from 100. Your solutions should be properly presented, and it is important that you double-check your spelling and grammar and thoroughly proofread your assignment before submitting. Instructions for assignment submission are presented in the “Assignment 2” link and must be strictly adhered to. No marks will be awarded to assignments that are submitted after the due date and time. All analyses must be carried out using SPSS, and no marks will be awarded for assignment questions where SPSS output supporting your answer is not provided. Dataset to be used in the analysis The dataset is provided in SAV format that can be run using
  • 10. SPSS. You can access the data file (Resalestatemarket_1.SAV) from the LMS below Assignment 2 in Session 8. The following are the details of the data: 1. Data was collected from the real estate market of a specific suburb in Australia. 2. Data consists of both scale and categorical/ordinal variables. 3. The description of the variables table is annexed to this file. Useful resources to complete this assignment 1. The all the resources in seminars 1-7. Questions and Marking Guidelines Question Details Marks 1. A client wants to have her house listed for sale by a real estate agent. The client has no idea how to predict the house price. The agent informed her that the weekly rent usually predicts the house price. You want to check how well the weekly rent predicts the house price. a. What technique are you going to use? Why?
  • 11. b. List and define the assumptions that are needed to be considered before deciding to interpret the results of your analysis. c. Provide the required assurance that your data have not breached the assumptions of that technique. d. Regardless of the results you got relevant to the assumptions, interpret and report the results of the statistical technique in terms of the model/formula you have, the magnitude, coefficient(s), and the significance of the results. Note: you need to paste the table(s) of the results in your word doc (answer file). 5 12 8 10
  • 12. 2 2. A client wants to have her house listed for sale by the real estate agent. The client has no idea how to predict the house price. The agent informed her that the house price is usually predicted by the number of bedrooms, number of bathrooms, weekly rent, rental return, area and condition of the house. You need to check how well those variables predict the house price. a. What technique are you going to use? Why? b. List the assumptions that are needed to be considered before deciding to interpret the results of your analysis. c. Provide the required assurance that your data have not breached the assumptions of that technique. d. Regardless of the results you got relevant to the assumptions, interpret and report the results of the statistical technique in terms of the model/formula you have, the magnitude, coefficient(s), and the significance of the results. Note: you need to paste the table(s) of the results in your word doc (answer file). 5
  • 13. 4 12 14 3. Based on the results you got in your answer to question 2, the Licensee Manager of the real estate agency proposed to control/adjust for street appeal and age of the house before you enter the variables that were significantly associated with the house price (as per the results of your answers to Question 2). a. What technique are you going to use? Why? b. Regardless of the results you got relevant to the assumptions, interpret and report the results of the statistical technique in terms of the model/formula you have, the magnitude, coefficient(s), and the significance of the results. Note: you need to paste the table(s) of the results in your word doc (answer file). 7
  • 14. 15 cture, clarity, and tidiness of presented solutions/answers; and grammar. 8 Total 100 Variable Descriptions Price Selling price of house in $'000 Rooms Number of main rooms in the house Lot Size Area of the block of land (lot) in square metres Age Age of the house in years Area Area of the house in square metres Material Timber = 1, Veneer = 2, Brick = 3 To Train Distance of the house to the nearest train station (kilometres) To Bus Distance of the house to the nearest bus stop (kilometres) To Shops Distance of the house to the nearest shopping centre (kilometres)
  • 15. Street Street appeal as evaluated by the real estate agency: ranges from 0 (lowest appeal) to 10 (highest appeal) Storeys Number of storeys or levels in the house Style Traditional Style = 0, Non-Traditional Style = 1 3 Bedrooms Number of bedrooms Bathrooms Number of bathrooms Kitchen Style of kitchen: Adequate = 0, Modern = 1 Heating Central or other heating system installed: No Heat = 0, Yes Heat = 1 AirCon Air conditioning installed: No AC (No AirCon) = 0, AC (Yes AirCon) = 1 Bay Views Proportion of views of the Bay from a prominent part of the property: ranges from 0 = Nil views up to 1 = Full views Suburb Three different suburbs: 1 = Suburb A, 2 = Suburb B, 3 = Suburb C Weekly Rent $ Actual or estimated weekly rent in $. Rental Return % Annual rate of return from rent income
  • 16. (Weekly rent x 52)/(Price in $'000) as a percentage (%) Condition The condition of the house in general. Very Poor = 1, Poor = 2, Good = 3, Excellent = 4 Rental Status Vacant (available for rent) = 1; Rented (currently rented) = 2; Owner (occupied by owner) = 3 Empirical Research Methods for Business Q1a) Price The total samples are 120 and SPSS REGARD 100% of the observations. The mean amount of house in AUD (In $000s) is 886.575 based on descriptive statistics with a standard error of 29.6344 from the mean of the population. The confidence interval of the mean between the upper bound of 945.3116 and the lower bound of 827.8384 is 95%. The mean value is 886.5750 which is very close to the trimmed mean value which is 876.7778. Through this, it shows that there is a very small impact of the extreme values. 852.000 is the median cost of the house which shows that the distribution score is skewed slightly towards the lower end of the distribution with 0.426 as the value as shown in the table on the left side. 1761.00 is the maximum value of a house in a
  • 17. population while 192.00 is the minimum value of a house in the population. 324.94666 is the value of the standard deviation which is slightly high in this phenomenon therefore, it means that the prices of the houses are spread out over a wide range of values. The box plot here shows that the distribution is skewed towers the left of the distribution graph this is because the box is closer towards the lower end of the graph. Therefore, there is also an individual large outlier, which is at the top of the line. The significance of Kolmogorov-Smirnov is shown at 0.200 and the significance of Shapiro-Wilk is at 0.116 as for the normality test. The data can be stated to be normal distributed since both of the values are above 0.05. The histogram is not normally distributed and is skewed more towards the left and it is asymmetric. In conclusion, the indicated value of each house which is plotted against the expected value of the normal distribution does not bring a reasonably straight line therefore, indicating that it’s not a normal distribution.
  • 18. 1b) Lot Size 100% of the observations are regarded by SPSS whereby the total samples are 120 as for the Lot size for the houses. The mean size of the house in the data set is 1175.2250 which is suggested by the descriptive statistics for the Lot Size 34.041 being the standard error from the mean of the population. Between the upper bound of 1242.6296 and the lower bound of 1107.8204 there is a confidence interval of 95%. 1161.3796 is the trimmed mean value which is closer to 1174.2250 which is the mean value. It communicates that there is a small level of impact of the extreme values. Since the distribution score is skewed towards the lower end of the distribution, therefore the median size of the house is 980.00 having a value of 0.838 as indicated in the figure on the left. The maximum size of a house in the dataset is 1950.00 while its minimum size is 632.00.The sizes of the houses varies over a wide range of sizes since the standard deviation is rather higher in this phenomenon and that is 372.90043. Since the box is closer towards the lower end of the graph therefore the box plot shows that the distribution is skewed towers the left of the distribution graph. This means that there are no outliers. The significance of Kolmogorov-Smirnov is suggested to be at 0.000 while the significance of Shapiro-Wilk is at 0.000 since both of these values are below 0.05 hence this is for the normality test. Therefore, the data is regarded to be not normally distributed
  • 19. The histogram shows that is asymmetric and skewed more towards the left as left side of the graph shows extremities at the left therefore it is not normally distributed. Since the line is not straight, it shows that it is not a normal distribution because the QQ plot shows a large number datasets falling out of the line when plotted against the expected value of the normal distribution therefore it shows that it is not a normal distribution. Q1c) Material Material Frequency Percent Valid Percent Cumulative Percent Valid Timber 45 37.5 37.5 37.5 Veneer 36 30.0 30.0 67.5
  • 20. Brick 39 32.5 32.5 100.0 Total 120 100.0 100.0 The data from the dataset cannot be measured since the material is considered nominal scale. Out the entire population from the descriptive stats since materials is considered to be nominal scale, the data from the dataset cannot be measure of 120houses, 45 houses, use timber which is equivalent to 37.5% of the population, 36houses use Veneer, which is 30% of the population. The rest of the 39 houses brick is the material used which is 32.5%. Condition Frequency Percent Valid Percent Cumulative Percent Valid Very Poor 15 12.5 12.5 12.5
  • 21. Poor 40 33.3 33.3 45.8 Good 42 35.0 35.0 80.8 Excellent 23 19.2 19.2 100.0 Total 120 100.0 100.0 Q1d) Condition The data set cannot be measured since the condition of the houses is considered ordinal. 15 houses are in poor condition which makes up 12.5% of the population of 120 houses. 40 houses are in poor condition making up 33.3% of the population, the majority of the houses are in good condition with a total up to 42 of them making up 35% of the population. Finally, 23 houses are in excellent condition making 19.2% of the total population. Q2)
  • 22. The value of significance of K Kolmogorov-Smirnov is 0.01 while the value of significance of Shapiro-Wilk is 0.002 according to results from the normality test for distance to train. This indicates that it is not normally distributed since both values are less than 0.05. Since a large portion of the values goes to high extremes, then the histogram to distance to Train appears to be asymmetric. Therefore, it shows that it is not normally distributed. Correlations Price To Train Price Pearson Correlation 1 .003 Sig. (2-tailed) .974 N 120 120 To Train Pearson Correlation .003 1 Sig. (2-tailed) .974
  • 23. N 120 120 The Pearson Correlation shows that there is a very weak relationship between the distance to the train and also including the price of the houses. The distance to the train station rarely can affect the price of the houses. By using the scatter plot for further test the hypothesis, it is indicated that there is a weak linear relationship between the distance of the house to the train station and the prices of the house. Since both the results show that the significance is zero then, as per the normality test, Kolmogorov-Smirnov and Shapiro-Wilk normality test, it is indicated that it is not normally distributed. The Histogram for distance to bus station is not normally distributed since it appears to be asymmetric since there are large extremities at both ends of the graph. Correlations Price
  • 24. ToBus Price Pearson Correlation 1 -.024 Sig. (2-tailed) .796 N 120 120 ToBus Pearson Correlation -.024 1 Sig. (2-tailed) .796 N 120 120 Per the Pearson Correlation results between the distances to the bus station to the price of the house shows that there are a very weak negative relationship at only negative 0.024.
  • 25. The Scatter Plot results of the distance to the bus stations and the prices of the houses indicate that the data points are spread unevenly on the diagram with no patterns. Therefore, there is a very weak linear relationship and little correlation too. Q3) Cronbach’s Alpha from reliability statistic indicates 0.923 as a result. Since 0.923 values is above 0.9 then it is regarded to have an excellent level of internal consistency of scale. Moreover, by eliminating one or more variables the reliability of the statistic can be increased. By through deleting Q8 which is the highest value at 0.928, will further increase the Cronbach’s Alpha value. Through deleting off Q8 results in the Cronbach’s Alpha an increase to 0.926 from 0.923 is significant. Though it is being considered to be an excellent level of internal consistency of
  • 26. scale, therefore, the value can be increased by eliminating off another variable. To increase the Cronbach’s Alpha value, while judging from the dataset, Q11 would be the highest value at 9.13, deleting this variable, will increase Cronbach’s Alpha value. When you delete both variables Q8 and Q11 the Cronbach’s Alpha value will increase to 0.931 from 0.926. Since the Cronbach’s Alpha is above 0.9, it is considered to have an excellent level of internal consistency of scale and eliminating off a variable to increase the Cronbach’s Alpha value is not allowed. If that happens then the dataset suggest that the next variable to eliminate off would be Q9. Running head: TITLE OF PAPER 1 TITLE OF PAPER 2
  • 27. Title of Paper Student Name University Title of Paper Thesis: Begin with your thesis statement which is the first section of the outline. It is an introduction to what your paper or presentation are about and sets the stage for the listener or reader. The thesis statement is the central idea of the paper and it is recommended that be written as a complete sentence. The thesis statement should indicate the point of view or argument that you are making regarding the topic. Remember to double space everything. I. Major points should receive upper case Roman numerals and should appear as far to the left as your computer will allow you to put them. a. Subpoints are indented. b. Please remember that if you have a I, you must also have a II. i. If you have an “a”, you must also have a “b”. ii. If you have a 1, you must also have a 2, and so forth. 1. Of course, having an "a" means that you must also have a "b." 2. See the meaning? Outlines observe a principle of parallelism. II. And then you give another main point at the left margin. a. The farther to the left an item appears, the more general it will be. b. The farther to the right a point appears, the more specific it will be. c. Thus areas of white space on your outline provide a key to understanding the relationships between assertions related to the thesis (topic sentences) and information that supports those assertions. III. Furthermore, the outline assignment gives you an
  • 28. opportunity to organize your argument before you cast it in a full draft, which would be the next step in the writing process. a. You will be able to see the relationships between ideas more easily. b. You should also be able to notice if parts of the outline are out of place. c. In short, the outline assignment enables you to show me your project at a stage when problems are highly fixable. d. I strongly encourage you to take the fullest possible advantage of this opportunity to further your thinking and to get feedback. IV. Finally, include a conclusion to draw ideas together. a. Think of your essay as if it were a circle. You started at one point and now (in the conclusion) you need to bring everything back around again to complete the loop. b. Techniques a student can use to craft a strong conclusion include: i. Restate and re-affirm your position. ii. Offer a solution to a problem. iii. Make a recommendation for a course of action. iv. Summarize your major points. v. Restate your thesis. c. And, again, if you have an “a”, make sure that you have a “b”. Running head: TITLE OF PAPER 1
  • 29. Title of Paper Student Name University Running head: TITLE OF PAPER 1 Title of Paper Student Name University