Sky Hospital ConsortiumThe Sky Hospital Consortium consists of 40 hospitals in various parts

of the US. After being discharged, patients are given a survey to

determine if they are satisfied with the overall service. In most cases

patients are satisfied. However, some are dissatisfied. In addition, out

of those who responded as being dissatisfied, some filed a formal

complaint. In the Excel file, Hospitals, linked at the

bottom of the page, are the results for the patients during a specific

year. The Sky Hospital Consortium is divided into the West, Central, and

East Regions. The Sky Hospital Consortium wants to evaluate the performance of the

hospitals. The Consortium wants to know which hospitals have the fewest

complaints. You are to assist in the data analysis by using your

knowledge of probability and conditional probability to help with the

ranking of the hospitals, as well as each Region.Managerial Report

Prepare a report (see below) with your ranking of the hospitals based

on the probabilities and conditional probabilities, as well as the

analysis of each region. Include the following seven (7) items in table

format to support your ranking. Be sure to use five (5) decimal places for your probabilities in the table, as some of them might be quite small.The probability of a patient responding “Dissatisfied” in each of the three different regions.

The probability of a patient filing a formal complaint in each of the three different regions.

The probability of a patient filing a formal complaint given a

patient response of “Dissatisfied” in each of the three different

regions.

The probability of a patient responding “Dissatisfied” for each hospital.

The probability of a patient filing a formal complaint for each hospital.

The probability of a patient filing a formal complaint given a patient response of “Dissatisfied” for each hospital.

Rank the hospitals within each region for each of

the probabilities in 4 – 6. In other words, only rank the hospitals in

the West region against the other hospitals in the West region. Perform

the same analysis for the other two regions. Then, within

each region, find the sum of the ranks and get an overall ranking for

each hospital. Evaluate and discuss the meaning of your results. Use

tables, charts, graphs, or visual dashboards to support your findings.

Write a report that adheres to the Written Assignment

Requirements under the heading “Expectations for CSU-Global Written

Assignments” found in the CSU-Global Guide to Writing and APA Requirements.

As with all written assignments at CSU-Global, you should have in-text

citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics, linked at the bottom of the page.Your report must contain the following:A title page in APA style.

An introduction that summarizes the problem.

The body of the paper should answer the questions posed in the

problem by communicating the results of your analysis. Include results

of calculations, as well as charts and graphs, where appropriate.

A conclusion paragraph that addresses your findings and what you have determined from the data and your analysis.

Submit your Excel file in addition to your report.West

Regional Hospital

Bell County

Danville

Eden Medical

Elton

Farr County

Fresno

Glendale

Heber Valley

Lakeview

La Paz

Main

Mountain View

Roosevelt

Ross General

Salem

South General

Total

Dissatisfied

Patients

Patients Patients who Filed a

Last

who Are

Formal

Year Dissatisfied Complaint P(Dissatisfied)

4191

147

79

4382

497

34

1468

271

77

2223

206

72

2162

288

58

5125

485

52

7339

373

73

5418

473

93

3922

282

57

5157

305

54

4257

220

40

2840

492

27

2133

300

20

2354

100

41

3868

500

88

1096

77

18

57935

5016

883

Central

Adams General

Columbus

Mercy Hospital

South Point

Total

5885

2534

3300

6991

18710

449

213

400

451

1513

87

36

19

37

179

East

Atlantic

Branden

Carson General

Clifton General

Columbia

District Central

Drexel

Dubois Regional

Easton

Kent

Lake Shore

Medina

Monroe

5694

4449

1169

2588

7548

1214

3622

2303

5016

5289

5914

4366

7899

438

318

342

312

382

300

123

461

490

346

269

216

501

36

70

31

46

59

63

20

60

51

39

79

37

42

Nathan Smith

Oconnor

Rye

Southern Ocean

Trenton

Spring Harbor

Sun Coast

Total

5050

5859

6224

6881

2687

1712

6347

91831

361

428

484

387

310

205

284

6957

58

89

74

88

74

57

37

1110

P(Complaint

Rank by P(D)

)

Rank by

P(C)

P(C|D)

Rank by P(C|D) Sum of Ranks

Overall Rank

Running head: GUIDE TO WRITING WITH STATISTICS

MTH410 Guide to Writing with Statistics

CSU-Global Campus

October, 2014

1

GUIDE TO WRITING WITH STATISTICS

2

Introduction

The purpose of this paper is to provide some general guidance in the writing of papers

using statistics and associated tests. The paper provides some general tips for writing and the use

of statistics. An example prompt is included, followed by a sample paper.

General Tips for Writing a Math Paper:

Organization:

o Turn your prompt into headings for paper sections. This will help you to make

sure you include all of the required information and analysis. It also helps the

reader identify the material.

o Your paper needs:

A separate title page using APA style requirements (running header, page

numbers, course, instructor, your name, date, etc.).

An introduction (often a summary or abstract of the problem).

A body of the paper that answers the questions posed in the problem and

includes calculations and graphs associated with this problem. This is

where you can turn your prompt into headings. All references need to be

properly cited.

A conclusion paragraph that addresses your findings and what you have

determined from the data and your analysis.

A separate sheet for references.

o There are templates that use APA style that you can insert your material into. If

you really struggle with formatting, this may be an option for your first paper or

two. If you use a template, remember to double-check it to remove any extra

instructions or pages or other elements that weren’t used.

In general, numbers less than 10 are to be written in word form. However, if you have

numbers in this range that carry decimals, write them in numeral form.

Never use or interpret a statistic or test that you don’t fully understand.

Target your audience and present as much information as necessary to allow the reader to

make an independent interpretation.

Make use of graphs and tables to display information in an easily understood manner.

Format them the same throughout, and make sure you don’t manipulate axes.

If you are referring to a statistic that is less commonly used, explain how you calculated

it. (It is not necessary to explain mean, but it may be necessary to explain how you set up

an ANOVA test.)

Be clear about your sample and its corresponding population.

Be direct in writing descriptive statistics (The mean in Group A is 22.9 units.).

GUIDE TO WRITING WITH STATISTICS

2

Translate the meaning of the statistic for the reader. Write plainly and then back it up

with statistical evidence. For example: Men and women scored equally well on this study

(t = 0.25, p < 0.01).
For additional resources see the CSU-Global Guide to Writing and APA Requirements or
visit https://owl.english.purdue.edu/owl/owlprint/672/
GUIDE TO WRITING WITH STATISTICS
3
Prompt for Sample Paper:
Critical Thinking: Heavenly Chocolates
Website transactions are an important segment of sales and distribution today. Heavenly
Chocolates manufactures and sells quality chocolates at its plant and retail store in Bozeman,
MT. Three years ago, the company developed a website and began sales on the internet. Website
sales have exceeded expectations and management is now considering strategies to continue to
increase its sales. To learn more about its sales, Heavenly Chocolates selected a sample of 50
random transactions from its previous month’s sales. The transaction data shows the day of the
week the purchase was made, the type of browser used in the transaction, the time spent on the
website, the number of website pages viewed, and the amount spent by the customer. The data is
shown in a file named Chocolate.
Heavenly Chocolates would like to determine if time spent on the website or the number
of pages viewed influence the total purchase. They would also like to examine any effect that
day of the week and browser type have on sales.
Managerial Report
Prepare a report (see below) using the numerical methods of descriptive statistics presented in
this module to learn how the variables contribute to the sales of chocolate. Be sure to include the
following four (4) items in your report.
1. Descriptive statistics (mean, median, range, and standard deviation) for each of the three
variables along with an explanation of what the descriptive statistics tell us about the
sales.
2. A breakdown using descriptive statistics examining the effect of days of the week on
sales. Evaluate the results.
3. A breakdown using descriptive statistics examining the effect of browser type on sales.
Evaluate the results.
4. Descriptive statistics (correlation coefficient) showing the relationship between sales (in
dollars), and each of the other two variables. Evaluate the relationships between sales (in
dollars) and each of the other variables (time spent and pages visited). Use tables, charts,
graphs, or visual dashboards to support your conclusions. Make recommendations for
continuing to develop sales to the management.
Write a report that adheres to the Written Assignment Requirements under the heading
“Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing
and APA Requirements. As with all written assignments at CSU-Global, you should have in-text
citations and a reference page.
Your report must contain the following:
A title page
An introduction
GUIDE TO WRITING WITH STATISTICS
4
A body of the paper that answers the questions posed in the problem and calculations and
graphs associated with this problem.
A conclusion paragraph that addresses your findings and what you have determined from
the data and your analysis.
Submit your Excel file in addition to your report.
Note: Prompt adapted from the “Heavenly Chocolate Website Transactions Case Problem 4,” D.
Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for
business and economics. (7th ed.), p. 167,168.
The following pages contain the sample paper corresponding to the prompt written
above. Read through it for ideas on how to write your own papers.
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
Heavenly Chocolates Web Sales Analysis
Student Name
MTH410 – Quantitative Business Analysis
Colorado State University–Global Campus
Instructor Name
Date
1
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
2
Heavenly Chocolates Web Sales Analysis
Website transactions are an important segment of sales and distribution today. Any
business developing a market for online sales would be wise to analyze data from both the
general marketplace and its own specific customer segment. Analysis of this data can provide
insight into further development of sales. Heavenly Chocolates data-mined their transactions for
the previous month to gather a random sample of 50 customer transactions. The sample recorded
the day of the week the purchase was made, the type of browser used in the transaction, the time
spent on their website, the number of website pages viewed, and the amount spent by the
customer. The purpose of this analysis is to determine if the time spent on the website or the
number of pages viewed influences the total purchase. The impact of day of the week and
browser type on sales will also be studied.
Overview of Online Sales
The 50 customers sampled spent a total of $3,406.41 in the previous month. This is an
average of $68.10 per customer. The purchases ranged from a $17.80 to $158.50. The average
customer spent 12.8 minutes on the website. Time spent on the website ranged from 4.3 minutes
to 32.9 minutes. The typical customer viewed almost five pages, with two as the minimum and
ten as the maximum. The data set is summarized below in Table 1.
Table 1
Summary of Online Sales Sample
Time (min)
Pages Viewed
Amount Spent ($)
mean
12.8
4.8
68.1
median
11.4
4.5
62.2
std dev
6.1
2
32.3
min
4.3
2
17.8
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
3
Table 1
Summary of Online Sales Sample (Continued)
Time (min)
Pages Viewed
Amount Spent ($)
max
32.9
10
158.5
range
28.6
8
140.7
SUM ($)
3406.41
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D.
Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for
business and economics. (7th ed.), p. 167,168.
Impact of Day of the Week on Sales
The daily sales breakdown reveals some interesting patterns. Sunday is the lowest sales
day, from the perspective of both total sales ($218.15) and average sales ($43.60). Monday and
Friday were the best days in terms of overall sales performance. Monday had the highest mean
(average) sales at $90.40, while Friday had the highest total sales at $945.43 for roughly 28\% of
the sample total. See Table 2 for a complete breakdown of the impact of the day of the week on
amount spent, time spent on the website, and number of pages viewed.
Table 2
Breakdown of Sales by Day of the Week
Sun
Mon
Tues
Wed
Thurs
Fri
Sat
Total
mean
43.6
90.4
59.3
57
58.8
85.9
54.1
68.1
median
37.2
104.2
67.4
53.4
59.2
70.4
55.6
62.2
std dev
12.8
43.5
14.6
24.5
30.4
33.9
17.7
32.3
min
32.7
26.7
39.1
32.7
17.8
52.1
27.9
17.8
max
64.2
158.5
74.4
94.9
91.6
155.3
78.6
158.5
range
31.4
131.8
35.4
62.2
73.8
103.2
50.7
140.7
count
5
9
7
6
5
11
7
50
Total Sales
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
4
Table 2
Breakdown of Sales by Day of the Week (Continued)
Sun
SUM ($) 218.15
Mon
Tues
Wed
Thurs
Fri
Sat
Total
813.38
414.86
341.82
294.03
945.43
378.74
3,406.41
Time Spent
mean
11.4
15.3
12.7
12.4
10.9
12.3
13.2
12.8
median
11.7
13.3
10.6
12
8.1
9.7
13.3
11.4
std dev
2.2
7.4
6
4.8
7.1
7.8
4.3
6.1
min
8
7.3
7.8
5
6.2
4.3
6
4.3
max
14.3
30.1
24.7
19.5
23.3
32.9
18.1
32.9
range
6.3
22.8
16.9
14.5
17.1
28.6
12.1
28.6
Pages Viewed
mean
4.2
6.4
4
4.2
3.8
4.8
5.3
4.8
median
4
6
4
4.5
4
4
5
4.5
std dev
1.9
2.1
2.1
1.5
2
2.3
1.1
2
min
2
4
2
2
2
3
4
2
max
7
10
7
6
7
10
7
10
range
5
6
5
4
5
7
3
8
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D.
Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for
business and economics. (7th ed.), p. 167,168.
By almost every measure, Monday is the best day for sales. Friday follows closely (see
Table 2). It makes logical sense to recommend that the marketing department develop
advertising targeted for Monday and Friday. Weekends are subpar and midweek statistics are
nearly equivalent. Targeting sales or special packages for midweek may produce some increased
traffic. If these recommendations are implemented, follow-up analysis is recommended to see if
the desired results are being produced.
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
5
Impact of Browser on Sales
There were also sales differences revealed by breaking the data down by browser type.
Customers using Internet Explorer to complete their transactions accounted for the highest total
sales at $1,656.81; however, this value was achieved on volume (see Table 3). Internet Explorer
had the lowest average sale at $61.36 while Firefox customers averaged $76.80 per transaction.
Table 3
Breakdown of Sales by Browser
Firefox
Internet
Explorer
Other
Total
mean
76.8
61.36
74.5
68.1
median
68
55.6
67.4
62.2
std dev
38.9
29.2
24.6
32.3
min
27.9
17.8
52.2
17.8
max
158.5
126.4
120.3
158.5
range
130.6
108.6
68.1
140.7
count
16
27
7
50
SUM ($)
1,228.21
1,656.81
521.39
3,406.41
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D.
Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for
business and economics. (7th ed.), p. 167,168.
The opportunity here is to target premium packages for advertising specific to Firefox.
Value packages could be created for advertising specific to Internet Explorer. This promotion
should be combined with the recommendations given regarding days of the week and subjected
to a follow-up analysis to check for results.
Relationship between Amount Spent and Website Use
The other feature of this analysis is to evaluate the relationship between amount spent by
customers and how much time they spent on the website with the additional variable of number
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
6
of pages viewed also taken into account. For this, a correlation analysis was performed. The
correlation coefficient between time spent on the website and amount spent in dollars was
moderately positive (r = 0.58). A similar moderately positive correlation coefficient (r = 0.60)
was found between the variables of time spent on the website and number of pages visited. The
strongest correlation was found between number of pages viewed on the website and amount
spent. This correlation coefficient (r = 0.72) approaches a strong positive correlation (see Figure
1). This suggests that there may be some merit in trying to guide customers to view more pages.
180.00
160.00
Dollars Spent
140.00
120.00
100.00
80.00
60.00
40.00
20.00
0.00
0
2
4
6
8
10
12
Pages Viewed
Figure 1. Relationship Between Pages Viewed and Dollars Spent. Data compiled from the
“Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T.
Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th
ed.), p. 167,168.
A common tactic is to guide customers to pages that have also been viewed by other
customers viewing the product on the current page. Another suggestion is to pair pages and
suggest that customers who purchased the product on the current page also frequently purchased
a product on the linked page. As with previous suggestions, follow-up analysis should be
performed to check results. On a cautionary note, this can be overdone. The statement from
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
7
Essentials of Statistics for Business and Economics that correlation is a measure of linear
association and not causation should also be duly noted (Anderson, et al., 2015).
Conclusion
The analysis of this sample of 50 random customer transactions revealed several items to
be used in the development of continued growth at Heavenly Chocolate. There is positive
correlation between all three variables, but the strongest correlation is between number of pages
viewed and amount of sales. There is adequate reason to pursue linking pages and making
suggestions for customer purchasing. Monday and Friday are the best sales days. Firefox
customers spend the most, but Internet Explorer customers provide the highest volume.
Packaging and marketing strategies can be developed using this information. This analysis
validates the use of statistical tools to provide insight into new strategies. Follow-up analysis is
also mandated to find out if the strategies are producing results.
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
References
Anderson, D.R., Sweeney, D.J., Williams, T.A., Camm, J.D., & Cochran, J.J. (2015). Essentials
of statistics for business and economics. (7th ed.). Stamford, CT: Cengage Learning.
8
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