DataGulf View CondominiumsNo Gulf View CondominiumsList PriceSale .docx

DataGulf View CondominiumsNo Gulf View CondominiumsList
PriceSale PriceDays to SellList PriceSale PriceDays to
Sell61360240242234395807790.1176131126.4154906876.11212
05193.9137962935.122147139.1367332307.1249180167.611537
5360.4186216205.4215545506.935284263.6347554537.4241761
63230943910146225221.4306909889.982185171.520586179928
7268260.8353498491250221214.8366725698.9109196181.5356
351348.5268252248167639606.431281274169506478.71721521
51.852652639.6194169168246962907.249194192.4215267265.7
249413387.8204707687.9185249230.6253742727.283639598.11
05911902.8156468432.993863809.5229931919.8452642491694
51450.5276200189298648648222825792281709655.862485480.
225517493.7129911885.567466455.373547514.2102807803.811
9
MTH410: Portfolio Project Rubric
Criteria Meets Expectation Approaches
Expectation
Below Expectation Limited Evidence
Content, Research, and Analysis
53-65 Points 40-52 Points 27-39 Points 14-26 Points
Content Demonstrates
strong or adequate
knowledge of
statistics; correctly
represents
knowledge from

the readings and
sources.
Some significant
but not major
errors or omissions
in demonstration
of knowledge.
Major errors or
omissions in
demonstration of
knowledge.
Fails to
demonstrate
knowledge of the
materials.
Requirements The Portfolio
includes all of the
required
components, as
specified in the
assignment:
addresses items 1-
7; report contains
all sections and
components; Excel
file submitted.
The Portfolio
includes most of
the required

components, as
specified in the
assignment.
The Portfolio
includes some of
the required
components, as
specified in the
assignment.
The Portfolio
includes few of the
required
components, as
specified in the
assignment.
Synthesis and
Evaluation
Demonstrates
strong or adequate
synthesis and
evaluation of
course concepts in
quantitative
business analysis.
Some significant
but not major
errors or omissions
in synthesis and
evaluation.

Major errors or
omissions in
synthesis and
evaluation.
Fails to
demonstrate
synthesis and
evaluation.
Analysis Provides strong or
adequate thought,
insight and analysis
of concepts and
applications
regarding
quantitative
analysis for
business.
Some significant
but not major
errors or omissions
in thought, insight
and analysis.
Major errors or
omissions in
thought, insight
and analysis.
Fails to
demonstrate
thought, insight

and analysis.
MTH410: Portfolio Project Rubric
Mechanics and Writing
Organization Project is clearly
organized, well
written, and in
proper essay
format including an
introduction, body,
and conclusion.
Conforms to
project
requirements.
Small number of
significant but not
major flaws in
organization and
writing; is in proper
essay format. In a
minor way does
not conform to
project
requirements.
Major problems in
organization and
writing; does not

completely follow
proper essay
format. In a
significant way
does not conform
to project
requirements.
Project is not well
organized or well
written and is not
in proper essay
format. Does not
conform to project
requirements.
Grammar and Style Strong sentence
and paragraph
structure; few or
no minor errors in
grammar and
spelling;
appropriate writing
style; clear and
concise with no
unsupported
comments.
Small number of
significant but not
major errors in
grammar and
spelling; generally
appropriate

writing.
Inconsistent to
inadequate
sentence and
paragraph
development; work
needed on
grammar and
spelling; does not
meet program
expectations.
Poor quality;
unacceptable in
terms of grammar
and/or spelling;
inappropriate
writing style that
interferes with
clarity.
Demonstrates
proper use of APA
style
Project contains
proper APA
formatting,
according to the
CSU-Global Guide
to Writing and APA
Requirements, with
no more than one
significant error.

Few errors in APA
formatting,
according to the
CSU-Global Guide
to Writing and APA
Requirements, with
no more than two
to three significant
errors.
Significant errors in
APA formatting,
according to the
CSU-Global Guide
to Writing and APA
Requirements, with
four to five
significant errors.
Numerous errors in
APA formatting,
according to the
CSU-Global Guide
to Writing and APA
Requirements, with
more than five
significant errors.
Total points possible = 350
https://csuglobal.blackboard.com/bbcswebdav/xid-3403141_5

DataStudentInvolved in Binge DrinkingAbused Prescription
Med. or MarijuanaUsed Illegal
DrugsGender1NONONOFemale2YESYESNOFemale3NONOYE
SFemale4NONONOFemale5NONONOMale6NONOYESFemale7
NONONOFemale8NOYESNOFemale9NOYESNOMale10NONO
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NONONOFemale18NOYESNOMale19NONONOFemale20NON
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Male24NONONOMale25YESYESYESFemale26NONONOMale2
7YESNONOFemale28NOYESYESMale29NONONOFemale30N
ONONOMale31NOYESNOMale32NONONOMale33NONOYES
Female34YESNOYESFemale35YESYESNOMale36NOYESNO
Male37NONONOMale38NONONOMale39NONONOMale40NO
NONOFemale41NONONOMale42NONONOFemale43YESYESY
ESMale44NONOYESMale45NONONOFemale46NOYESNOFem
ale47YESNONOMale48NONONOFemale49NONOYESFemale5
0YESYESNOFemale51NONONOMale52YESNONOFemale53Y
ESNONOMale54YESYESNOMale55NONONOMale56NOYESY
ESFemale57NOYESNOFemale58NONONOFemale59NOYESNO
Female60NONONOMale61NOYESNOMale62NONOYESMale63
NONONOFemale64NONONOMale65NONONOFemale66NONO
NOFemale67NONONOMale68NOYESYESFemale69YESNONO
Female70NONONOFemale71NONONOMale72NOYESNOFemal
e73YESYESYESFemale74NONONOFemale75NOYESYESFema
le76YESNOYESMale77NONOYESFemale78YESNONOMale79
YESYESYESMale80YESYESNOMale81NONOYESFemale82Y

ESNOYESMale83NONONOFemale84NONONOMale85YESNO
NOMale86NONONOMale87NONONOFemale88YESYESYESFe
male89NONONOFemale90NONONOMale
HEAVENLY CHOCOLATES WEB SALES ANALYSIS
(Sample) 8
MTH410 Guide to Writing with Statistics
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:
· 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.
· 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.
· 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.).
· 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/
Running head: GUIDE TO WRITING WITH STATISTICS 1
GUIDE TO WRITING WITH STATISTICS 2
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.
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
problem and calculations and graphs associated with this
problem.
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
Student Name
MTH410 – Quantitative Business Analysis
Instructor Name
(Sample) 1
(Sample) 5
Date
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
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
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 theWeek
Sun
Mon
Tues
Wed
Thurs
Fri
Sat
Total
Total Sales
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
(Sample) 2
(Sample) 3
Table 2
Breakdown of Sales by Day of theWeek (Continued)
Sun
Mon
Tues
Wed
Thurs
Fri
Sat
Total

SUM ($)
218.15
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
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.
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
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
(Sample) 4

(Sample) 5
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
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.
Figure 1. Relationship Between Pages Viewed and Dollars
Spent. Data compiled from the “Heavenly Chocolate Website
(Sample) 6
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

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.
(Sample) 7
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.
Amount Spent ($) 4 6 4 2 4 6 2 6 3
7 6 5 7 10 3 4 7 7 4 5 5
6 3 2 3 2 5 4 10 9 2 8 4
3 5 5 4 4 2 5 4 7 4 7 6
4 2 5 6 3 54.52 94.9 26.68
44.730000000000011 66.27 67.8 36.04
55.960000000000008 70.940000000000026 68.73
54.040000000000006 48.05 64.16 158.51
84.11999999999999 59.2 91.61999999999999 126.4
68.45 32.690000000000012 78.58
74.430000000000007 32.730000000000011
48.660000000000011 54.660000000000011 40.54
34.690000000000012 27.910000000000004
155.30000000000001 120.25 41.2 134.4 37.17
52.09 71.81 59.99 84.169999999999987
55.58 39.06 36.480000000000004
67.440000000000026 60.14 70.38
110.64999999999999 104.23 68.169999999999987
17.840000000000003 103.14999999999999
52.150000000000006 98.75
Pages Viewed
Dollars Spent
(Sample) 8

MTH410 Guide to Writing with Statistics
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:
· 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.
· 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).

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 separate sheet for references.
· 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.).
· 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/
Running head: GUIDE TO WRITING WITH STATISTICS 1
Prompt for Sample Paper:
Critical Thinking: Heavenly Chocolates
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.
of days of the week on sales. Evaluate the results.

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
problem and calculations and graphs associated with this
problem.
Submit your Excel file in addition to your report.
Note: Prompt adapted from the “Heavenly Chocolate Website

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.
Student Name
MTH410 – Quantitative Business Analysis
Instructor Name
(Sample) 1
(Sample) 5
Date
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
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
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 theWeek

Sun
Mon
Tues
Wed
Thurs
Fri
Sat
Total
Total Sales
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
(Sample) 2
(Sample) 3
Table 2
Breakdown of Sales by Day of theWeek (Continued)
Sun
Mon
Tues
Wed
Thurs
Fri
Sat
Total
SUM ($)
218.15
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
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.
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
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
(Sample) 4
(Sample) 5
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
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.
Figure 1. Relationship Between Pages Viewed and Dollars
Spent. Data compiled from the “Heavenly Chocolate Website
(Sample) 6
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
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.
(Sample) 7
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.

Amount Spent ($) 4 6 4 2 4 6 2 6 3
7 6 5 7 10 3 4 7 7 4 5 5
6 3 2 3 2 5 4 10 9 2 8 4
3 5 5 4 4 2 5 4 7 4 7 6
4 2 5 6 3 54.52 94.9 26.68
44.730000000000011 66.27 67.8 36.04
55.960000000000008 70.940000000000026 68.73
54.040000000000006 48.05 64.16 158.51
84.11999999999999 59.2 91.61999999999999 126.4
68.45 32.690000000000012 78.58
74.430000000000007 32.730000000000011
48.660000000000011 54.660000000000011 40.54
34.690000000000012 27.910000000000004
155.30000000000001 120.25 41.2 134.4 37.17
52.09 71.81 59.99 84.169999999999987
55.58 39.06 36.480000000000004
67.440000000000026 60.14 70.38
110.64999999999999 104.23 68.169999999999987
17.840000000000003 103.14999999999999
52.150000000000006 98.75
Pages Viewed
Dollars Spent

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