Statistics FOR Business - Special Project (Example #2) Name: Student B Date: ____________ Part A: Description of Business Context Write a brief summary of the business context (e.g., manufacturing, marketing, finance, etc.) including the name of the company or organization. Crystal Geyser (Company) sells bottled water, collected from alpine springs, through various U.S. retail channels. Part B: Problem/Issue State the business problem/issue to be addressed using statistics and why this problem/issue is important to the company/organization. Several new competitors have entered the market during the past year, eroding some of the Company’s customer base. The Company wants to revive its sales through the implementation of a new marketing campaign. As part of this process, the Company wants to determine the popularity of its product among customers of different socioeconomic status. Part C: Statistical Procedure Explain the statistical procedure (NOTE: Focus on ONE statistical procedure only) 1. Independent variable: a) What is the variable: Socioeconomic status b) How it is measured (e.g., revenue measured in “dollars”; height measured as “short, average, tall”) Low, middle, high c) Level of measurement (nominal, ordinal, interval, or ratio): Ordinal 2. Dependent variable: a) What is the variable: Frequency of purchase b) How it is measured (e.g., revenue measured in “dollars”; height measured as “short, average, tall”) Never purchase, occasionally purchase, frequently purchase c) Level of measurement (nominal, ordinal, interval, or ratio): Ordinal 3. Name of the procedure/formula (e.g., ANOVA, Chi-Square, Hypothesis Test using z formula, Regression Analysis, etc.). NOTE: The procedure/ formula must be one that was covered in the course: Chi-Square test 4. Describe the statistical rationale/justification for choosing this procedure/ formula: Chi-Square test for independence is used when the independent variable has 2 or more groups (nominal or ordinal level) and when the dependent variable is measured at the nominal or ordinal level. 5. Describe how the data are collected by the business/organization: The Company hired a market research firm to conduct a survey of a sample of customers drawn from the target population. Response data were collected via a telephone survey. Describe how the data are analyzed (i.e., how the statistical procedure is performed): The null and alternative hypotheses are defined (H0: There are no differences among the groups with respect to their frequency of purchase. H1: There are differences among the groups with respect to their frequency of purchase.); an alpha level is set; Chi-square is calculated using the formula: χ2 = ∑[(fi,j - ei,j)2 ÷ ei,j]; the calculated χ2 value is compared to the critical χ2 value (found in the χ2 table); if χ2 calculated < χ2 critical H0 is accepted and if χ2 calculated > χ2 critical H0 is rejected. Part D: Decision/Interpretation Explain t.

1. Statistics FOR Business -
Special Project (Example #2)
Name: Student B
Date: ____________
Part A: Description of Business Context
Write a brief summary of the business context (e.g.,
manufacturing, marketing, finance, etc.) including the name of
the company or organization.
Crystal Geyser (Company) sells bottled water, collected from
alpine springs, through various U.S. retail channels.
Part B: Problem/Issue
State the business problem/issue to be addressed using statistics
and why this problem/issue is important to the
company/organization.
Several new competitors have entered the market during the
past year, eroding some of the Company’s customer base. The
Company wants to revive its sales through the implementation
of a new marketing campaign. As part of this process, the
Company wants to determine the popularity of its product
among customers of different socioeconomic status.

2. Part C: Statistical Procedure
Explain the statistical procedure (NOTE: Focus on ONE
statistical procedure only)
1. Independent variable:
a) What is the variable: Socioeconomic status
b) How it is measured (e.g., revenue measured in “dollars”;
height measured as “short, average, tall”) Low, middle, high
c) Level of measurement (nominal, ordinal, interval, or ratio):
Ordinal
2. Dependent variable:
a) What is the variable: Frequency of purchase
b) How it is measured (e.g., revenue measured in “dollars”;
height measured as “short, average, tall”) Never purchase,
occasionally purchase, frequently purchase
c) Level of measurement (nominal, ordinal, interval, or ratio):
Ordinal
3. Name of the procedure/formula (e.g., ANOVA, Chi-Square,
Hypothesis Test using z formula, Regression Analysis, etc.).
NOTE: The procedure/ formula must be one that was covered in
the course: Chi-Square test
4. Describe the statistical rationale/justification for choosing
this procedure/ formula: Chi-Square test for independence is
used when the independent variable has 2 or more groups
(nominal or ordinal level) and when the dependent variable is
measured at the nominal or ordinal level.
5. Describe how the data are collected by the
business/organization: The Company hired a market research
firm to conduct a survey of a sample of customers drawn from
the target population. Response data were collected via a
telephone survey.
Describe how the data are analyzed (i.e., how the statistical
procedure is performed): The null and alternative hypotheses
are defined (H0: There are no differences among the groups

3. with respect to their frequency of purchase. H1: There are
differences among the groups with respect to their frequency of
purchase.); an alpha level is set; Chi-square is calculated using
the formula: χ2 = ∑[(fi,j - ei,j)2 ÷ ei,j]; the calculated χ2
value is compared to the critical χ2 value (found in the χ2
table); if χ2 calculated < χ2 critical H0 is accepted and if χ2
calculated > χ2 critical H0 is rejected.
Part D: Decision/Interpretation
Explain the type of business decision that the
company/organization would make as a result of this statistical
analysis. If H0 is accepted, Crystal Geyser can conclude that it
does not need to differentiate its advertising/marketing strategy
by socioeconomic status. If H0 were rejected, Crystal Geyser
would further analyze the survey results to determine which
socioeconomic group(s) to specifically target in its new
marketing campaign.
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1
MNS 601 Special Project
Running head: PHUKET THAILAND 2004 BOXING DAY
TSUNAMI 1
PHUKET THAILAND 2004 BOXING DAY TSUNAMI
Week 5 Assignment #Outline: Phuket Thailand 2004 Boxing
Day Tsunami
1. Introduction
· Research topic: The Phuket Thailand Tsunami
· Date of Occurrence: 26th December 2004
· Place(s) Occurred: Phuket Island.

4. · The tsunami struck the west coast of Phuket Island.
· It started in Similan Islands. This was the place where it was
noticed first in the soil of Thailand.
· Victims of the Event: Native Thais and Foreigners (tourists)
· Relevance: Tsunamis are some of the world’s deadly weather
events alongside flooding and earthquake just to mention a few.
· Importance: It was a national calamity affecting many regions
around the Phuket Island destroying a lot of properties, killing a
lot of people and leaving many others badly injured.
1. Research and Discussion
1. Weather Journal: Atmospheric condition
2. Weather Event: During the 2004 Tsunami, Thailand had no
quick data analysis or the ground warning systems were in
place, and so there was no prediction of the calamity.
3. Causation (Dettmer et al., 2016).
i. Tsunamis are usually series of large waves engendered by a
sudden movement on the ocean floor. Most of them emanates
from earthquakes. However, they can also be caused by volcanic
eruptions, underwater landslide, even—though rare—, large
meteorite strike.
ii. The 2004 Phuket Tsunami was by an undersea earthquake of
magnitude of range from 9.1 to 9.3. The Tsunami is the third
most powerful to have ever been recorded in the history of
humanity (Nam, 2018).
4. Societal Impacts
i. Short-Tem Impacts
a. Many people lost their lives, got displaced and other went
missing. After the tsunami, the Government of Thailand
reported 4,812 deaths, 8,457, injuries, and 4,499 missing people
(Nam, 2018). In the popular Phuket Tourist Resort, 250 people
were confirmed dead, among them tourists.
b. Power lines and other economic properties were also
damaged. Also causing some inland flooding, the tsunami
brought down power lines causing power outrage in the region
as well as destroying properties among them the main beaches
of Phuket Island including Kata Beach, Patong, Karon, and

5. Kamala are some of the properties that were damaged.
ii. Long-Term Impacts
a. The tourism sector was damaged.
· Tourism restores such as the Phuket resort were destroyed.
· Tourists also considered Thailand as a high-risk place to be on
vocation.
b. Local fishing industry was affected as boats were destroyed
c. Many people were left homeless and unemployed due to the
destruction of homes and workplaces and business organization
such as Phuket Resort (Nam, 2018).
d. Public infrastructure such transport systems were destroyed.
e. Environmentally, the tsunami affected sanitation due to
sewage spills, marine life destruction (the nesting beaches of
sea turtles were destroyed due to erosion), food crops were
damaged by saline water (Szczuciński et al. (2012).
f. Generally, this tsunami made Thailand and especially the
west coast of Phuket Island a hell to be for both the Thais and
the tourists. Many of the natives felt the place was not safe for
them to be. The loss of their loved ones only helped to pile fear
in them that the nightmare could also occur in the future again.
On the other hand, tourists reconsidered going to Thailand for
vocations. To them, Thailand was unsafe and no one would want
to come fly from their home countries to go and get killed with
a tsunami in Thailand.
5. Weather Readiness (Tomotsuka, Kazumasa, & Fumihiko,
2018).
(i) Establishing research and detection centers
(ii) Establishing tsunami communication centers for
communication of tsunami patterns and warnings (it may be
through weather radios or weather apps or the media)
(iii) Developing tsunami evacuation and recovery centers for
education and training on evacuation plans, safe places to
evacuate to, and how to evacuate (Melgar et al., 2016).
6. The Conclusion Section
The Phuket Thailand Tsunami is one of the largest tsunami and
natural hazards to have ever happened in the history of unity.

6. Happening in the west coast of the Phuket Island in Thailand,
the weather event caused massive damages killing many people
and destroying a lot of properties. The impact it had on
Thailand is unforgettable. Other than destroying its tourism
reputation regarding security and safety, for a case in point, the
tsunami left the Thais in bitterness and suffering due to the loss
of their loved ones as well as the fear that it could happen again
in the future. While natural hazards cannot be prevented, their
impacts can be mitigated once they occur. The strategies
include detecting the hazards in good time and warning the
public to get to safe areas in time. As such, Thailand should be
on the fore front to predict future tsunamis to be safe. The topic
was relevant and important because Tsunamis are some of the
natural weather events that are fatal when they occur.
References
Dettmer, J., Hawkins, R., Cummins, P. R., Hossen, J.,
Sambridge, M., Hino, R., & Inazu, D. (2016). Tsunami source
uncertainty estimation: The 2011 Japan tsunami. Journal of
Geophysical Research: Solid Earth, 121(6), 4483-4505.
Tomotsuka, T., Kazumasa, K., & Fumihiko, I. (2018). Tsunami:
to survive from tsunami (Vol. 46). World Scientific.
Melgar, D., Allen, R. M., Riquelme, S., Geng, J., Bravo, F.,
Baez, J. C., ... & Bevis, M. (2016). Local tsunami warnings:
Perspectives from recent large events. Geophysical Research
Letters, 43(3), 1109-1117.
Nam, S., (2018). Tsunamis in Thailand. Retrieved from
https://www.tripsavvy.com/tsunamis-in-thailand-1658242
Szczuciński, W., Rachlewicz, G., Chaimanee, N., Saisuttichai,
D., Tepsuwan, T., Lorenc, S., (2012). 26 December 2004
tsunami deposits left in areas of various tsunami run up in
coastal zone of Thailand. Retrieved from
https://link.springer.com/article/10.5047/eps.2012.07.007#citeas
Annotated Bibliography

7. Source #1
Citation
“Dettmer, J., Hawkins, R., Cummins, P. R., Hossen, J.,
Sambridge, M., Hino, R., & Inazu, D. (2016). Tsunami source
uncertainty estimation: The 2011 Japan tsunami. Journal of
Geophysical Research: Solid Earth, 121(6), 4483-4505.”
Summary
The article outlines research on the displacement of sea surface
and its uncertainties after the occurrence of an earthquake
founded on tsunami-genic waves. It establishes uncertainty
levels through an approach known as Bayesian modeling. The
parameters involved in this case are nonlinear, and the rupture
velocity is assumed to be unknown. The rise time is taken to be
thirty seconds.
Evaluation
The article is relevant in its content since it encompasses
researches from which inferences are drawn. The approach used
is also essential in that it displays the likelihood of occurrence.
The method is known as Bayesian modeling.
Source #2
Citation
“Tomotsuka, T., Kazumasa, K., & Fumihiko, I.
(2018). Tsunami: to survive from tsunami (Vol. 46). World
Scientific.”
Summary

8. The article talks about a tsunami that occurred in Sri Lanka a
long time ago, more than 20 centuries back. It was caused by a
mid-ocean earthquake that happened in the Indian Ocean,
causing massive destruction and loss of lives. The article is
divided into two sections. The first section is called "How to
survive a tsunami." It outlines the features of tsunamis with
giving examples. The second section called "Tsunami Behavior
and Forecasting" describes the scientific aspects of a tsunami.
Evaluation
The article is relevant as far as its content is concerned. It aims
at keeping the public informed as far as tsunamis are concerned.
The prologue part of the article portrays much importance since
it outlines some queries concerning tsunami, which people get
to learn when they read the article.
Source #3
Citation
“Melgar, D., Allen, R. M., Riquelme, S., Geng, J., Bravo, F.,
Baez, J. C., ... & Bevis, M. (2016). Local tsunami warnings:
Perspectives from recent large events. Geophysical Research
Letters, 43(3), 1109-1117.”
Summary
The articles describe a flexible policy for tsunami cautioning
based on seismic stations and locational geodetic stations.
Retrospective scrutiny was carried out on four tsunamis that
occurred in Japan and Chile, from which information regarding
the sources of earthquakes and the tsunamis was acquired. It
was clear that the occurrence of an earthquake is a predictor for
a tsunami. The policy does not require that new seismic and
geodetic instruments be deployed in different zones. Instead, it

9. could enhance faster predictions through state monitoring and
cautioning organizations.
Evaluation
The conclusion of the article regarding earthquake as a cause of
tsunami occurrence is valid. The reason behind the validity is
the fact that it was generated from comparisons carried out
regarding the earthquake sources and the propagation of the
tsunamis alongside the previously conducted surveys about
tsunami backlog.
Tsunami
by Brandon Olsen
A tsunami is a series of ocean waves generated by sudden
displacements in the sea floor, landslides, or volcanic activity.
In the deep ocean, the tsunami wave may only be a few inches
high. The tsunami wave may come gently ashore or may
increase in height to become a fast moving wall of turbulent
water several meters high.
Although a tsunami cannot be prevented, the impact of a
tsunami can be mitigated through community preparedness,
timely warnings, and effective response.

10. References
https://www.tsunami.noaa.gov/
Statistics FOR Business -
Special Project
Project Description:
Identify and analyze a real-life, business application of
statistics. The “business” can be a for-profit, non-profit, small
or large entity. The following are not acceptable topics:
· A specific application/problem discussed in class
· An application that uses descriptive statistics (i.e., graphs,
percentages, measures of central tendency or dispersion)
The statistical procedure you choose to illustrate MUST be one
that was covered in this course.
You do not have to collect actual data from a business or apply
the statistical procedure/calculate an answer.
To complete your project, copy and paste the form on the
second page of this document. Then, fill in all the blanks. You
can adjust the size of the answer spaces as necessary – the lines
are just there to indicate where the answers go. Do not hand in
this instruction page.
Criteria & Administration:
Be concise. Your project submission must not exceed two (2)
pages in length (12-point font).
You must write this. Copies of documents/analyses written by

11. someone else will not be accepted.
The form provided is in bold font. Do not use bold font for
your responses. Using a colored font (other than red) for your
responses is preferable.
Hints:
If you need help finding ideas for business applications, read
the problems at the end of the relevant sections/chapters of the
textbook. These problems usually include a business
application/context. And, you can always “Google it.”
If you have difficulty finding an actual business application,
you can design and propose one for a specific business.
Statistics FOR Business - MNS 601
Special Project
Name:_________________________________________
Date: ____________
Part A: Description of Business Context
Write a brief summary of the business context (e.g.,
manufacturing, marketing, finance, etc.) including the name of
the company or organization.
_____________________________________________________
___________________
_____________________________________________________
___________________
Part B: Problem/Issue
In 200 words State the business problem/issue to be addressed

12. using statistics and why this problem/issue is important to the
company/organization.
_____________________________________________________
___________________
_____________________________________________________
___________________
Part C: Statistical Procedure
Explain the statistical procedure (NOTE: Focus on ONE
statistical procedure only)
1. Independent variable:
a) What is the variable:
___________________________________________
b) How it is measured, i.e. what units or categories are used
(e.g., revenue measured in “dollars”; height measured as “short,
average, tall”) _______________________________
c) Level of measurement (nominal, ordinal, interval, or ratio):
________________________________________
2. Dependent variable:
a) What is the variable:
___________________________________________
b) How it is measured, i.e. what units or categories are used
(e.g., revenue measured in “dollars”; height measured as “short,
average, tall”) _______________________________
c) Level of measurement (nominal, ordinal, interval, or ratio):
________________________________________
3. Name of the procedure/formula (e.g., ANOVA, Chi-Square,

13. Hypothesis Test using z formula, Regression Analysis, etc.).
NOTE: The procedure/ formula must be one that was covered in
the course:
_____________________________________________________
_____________
4. Describe the statistical rationale/justification for choosing
this procedure/formula:
_______________________________________________
_____________________________________________________
_____________
5. Describe how the data are collected by the
business/organization:
_____________________________________________________
_____________
6. Describe how the data are analyzed (i.e., identify the steps in
the statistical procedure):
_____________________________________________________
_
_____________________________________________________
_____________
Part D: Decision/Interpretation
Explain the type of business decision that the
company/organization would make as a result of this statistical
analysis. ________________________________
_____________________________________________________
___________________
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