Must Review attached example, instructions, scoring guide, and previous assignments to successfully complete this assignment

In the last assessment, you were asked to prepare the first part of your analytics report by creating graphs and calculating some descriptive statistics. In this assessment, you will write your 6-8 page analytics report by interpreting those graphs and statistics, and explicitly connecting those interpretations to implications in the practical business context.

The first step in creating meaningful information from raw data is to represent the data effectively in graphical format and to calculate any required statistics. The second step is interpreting and explaining those graphs and statistics in order to apply them in the business context. 

In the previous assessment, you were asked to create the first part of your analytics report by preparing graphs and calculating some descriptive statistics. In this assessment, you will complete your analytics report by interpreting those graphs and statistics, and connecting those interpretations explicitly to implications in the business context.  

In business and applied analytics, oftentimes you are interested in drawing conclusions about a population of interest. However, it may not be feasible or practical to gather data on the entire population. In those cases, data is gathered from a sample or subset of the population. Analyses done on the sample are then used to draw inferences regarding the overall population; this mathematic process is referred to as inferential statistics. In this assessment, we begin discussing the topics of sampling and drawing inferences.  

All the inferential statistical techniques and methods covered in this course are considered parametric techniques and require certain assumptions to be used and for the results to be reliable, many of which are assumptions about an underlying distribution. Nonparametric techniques require no assumption about underlying distributions and are often used when the assumptions of parametric techniques are not met. Although these are beyond the scope of this introductory course, they are a great option for additional reading and research. 

Analytics projects often result in two distinct types of reports or summaries: one tailored to the executive level, which takes the form of a presentation, and the other, a detailed analytics report, which documents an analysis so thoroughly that another analyst can reproduce the analysis exactly. Many times, the latter type is referred to by other departments or analysts wishing to conduct a similar analysis on similar data or by the same analyst who wants to repeat the analysis on a new or revised set of data. In this assessment, you will learn the essential elements that should be included in a report at this level of detail and you will create your own analytics report addressing the business problem you have been working on.

Must Review attached example, instructions, scoring guide, and previous assignments to successfully complete this assignment

Scenario

Your supervisor has asked you to prepare a report for the quarterly company meeting. The first part of the task was to download the data and create scatterplots and histograms, and to calculate mean, median, and mode of the stock prices that you presented graphically in your report for the last assessment. This time your task is to analyze and interpret those graphical representations of the company stocks and to write a report about your findings for your supervisor. 

Your Role

You are an analyst in the same business that you used for the last assessment. Your role is to turn data into meaningful information through the use of descriptive statistics and analysis. 

Instructions

After reviewing and integrating your instructor’s feedback on your previous assessment, complete the report as follows:

· For each graph you created, write at least one paragraph interpreting the graph.

. What does that graph represent? 

. What does the shape of the graph tell you about how the data have changed over time?

· For each statistic you calculated, spend at least one sentence explaining what the statistic represents. 

. What does the mean tell you? 

. What does it imply if the median is different from the mean? 

. What does the standard deviation tell you about the volatility of the data?

· Write a new conclusions section in which you explain how these interpretations can be used in the company:

. What are some trends about which company leaders should be aware?

. How might the information you have provided be used to inform business decisions?

. How will you connect those interpretations explicitly to implications for the practical business context?  

· Create a 6–8 page report containing:

. An APA-formatted title page.

. A one-page introduction of your chosen company that you created in your previous assessment. 

. A section labeled “Graphical Representations of Data” that includes the four graphs you created as well as your interpretations of each graph.

. A section labeled “Descriptive Statistics” with the statistics you calculated as well as your interpretations of the statistics.

. A one-page conclusion in which you describe the potential business applications of the data and your interpretations.

. An APA-formatted references page. Remember to cite the source of your financial data.

Additional Requirements

· Include APA-formatted in-text citations where appropriate.

· Follow the typical double-spaced analytics report format. 

· Make sure your written communication is free of errors that detract from the overall message.

Evaluation

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies through corresponding scoring guide criteria:

· Competency 3: Apply data analytic techniques to make inferences about a business need.

. Interpret four different graphical representations of data.

. Interpret descriptive statistics for two different variables.

· Competency 4: Present the results of data analysis in clear and meaningful ways to multiple stakeholders.

. Explain the business applications from the interpretations of the data.

. Correctly format citations and references using current APA style.

. Write content clearly and logically, with correct use of grammar, punctuation, and mechanics.

Applying Analytic Techniques to Business Scoring Guide

CRITERIA NON-PERFORMANCE BASIC PROFICIENT DISTINGUISHED

Describe the
company
background and the
practical business
context.

Does not describe
the company
background or the
practical business
context.

Partially describes the
company background
but does not provide
the full picture of the
business context.

Describes the
company
background and
the practical
business context.

Thoroughly describes the
company background and
the practical business
context using examples
and details that
demonstrate exemplary
understanding.

Interpret the four
different graphical
representations of
data.

Does not interpret
the four different
graphical
representations of
data.

Describes the different
graphical
representations of
data but does not
demonstrate
professional
understanding of the
graphs in context.

Interprets four
different graphical
representations of
data.

Interprets and explains
thoughtfully the four
different graphical
representations of data in
a way that indicates
exceptional understanding
of the strategies and
includes examples from
the field.

Interpret the
descriptive statistics
for two variables.

Does not interpret
the descriptive
statistics for two
variables.

Interprets at least one
descriptive statistic for
variables but does not
convey professional
understanding of the
graphs in context.

Interprets
descriptive
statistics for two
variables.

Interprets and thoughtfully
explains the descriptive
statistics for two variables
in a way that demonstrates
exceptional understanding
of the calculations.

Explain the potential
business
applications from
the data and
interpretations.

Does not explain
the potential
business
applications from
the data and
interpretations.

Partially explains the
potential business
applications from the
data and
interpretations.

Explain the
potential business
applications from
the data and
interpretations.

Explains in depth many
potential business
applications from the data
and interpretations with
examples and professional
insight.

Format citations and
references correctly,
using current APA
style.

Does not format
citations and
references using
APA style.

Formats citations and
references with errors
in APA style.

Formats citations
and references
correctly, using
current APA style.

Formats citations and
references flawlessly in
current APA style.

Present content
clearly,
professionally, and
logically for the
identified audience.

Does not present
content clearly,
professionally, or
logically for the
identified audience.

Presents content with
some flaws in
organization or clarity
that affect professional
delivery for the
identified audience.

Presents content
clearly,
professionally, and
logically for the
identified audience.

Presents content with
exceptional clarity,
organization,
professionalism, and
appropriateness for the
identified audience.

Runninghead: APPLYING ANALYTIC TECHNIQUES TO BUSINESS

1

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

Applying Analytic Techniques to Business

Learner’s Name

Capella University

Applied Business Analytics

Applying Analytic Techniques to Business

April, 2019

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 2

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

Microsoft Corporation

Microsoft is one of the world’s leading IT firms. With constant growth in its offerings,

Microsoft currently develops and licenses computing software, services, devices, and solutions

worldwide (Yahoo Finance, 2019). Some of Microsoft’s prominent offerings include Microsoft

Windows, which constitutes 35.5% of the market share for operating systems as of March 2019

(StatCounter, 2019), Office 365 Commercial Products and Services, available through cloud

technology, and Microsoft Azure, a cloud platform for data storage and analysis (Yahoo Finance,

2019).

Although software has been the basis of Microsoft’s success previously, in 2013, under

the leadership of Steven Anthony Ballmer, the company announced a shift in focus toward the

production of devices and services (Belanger, 2018). Consequently, there was an increased in

production of phones, tablets, personal computers, and gaming hardware including as Xbox. This

shift, however, was unsuccessful, largely because Microsoft’s strategic acquisition of all of

Nokia’s Devices and Services business proved a significant failure (Belanger, 2018).

The change in leadership from Ballmer to Satya Nadella in 2014 redirected the company

to profitable growth with a shift in focus toward business technological services and cloud

computing (Belanger, 2018). The acquisition of LinkedIn, the development of Office 365, and

the launch of Microsoft Azure generated significant profits for the company in the recent years

(Belanger, 2018). For the past 5 years, Microsoft leadership has witnessed an average growth

rate of 1.4%, and the company leaders are optimistic about generating a 7.5% increase in profits

in 2020 (Simply Wall ST, 2019). What makes Microsoft’s future really promising is its current

standing; Microsoft generated a revenue of close to 32.5 billion U.S. dollars and a profit of 8.6

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 3

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

billion U.S. dollars owing to a 76% increase in the sales of Azure and a 39% increase in sales of

surface tablets and laptops (Weise, 2019).

Graphical Representations of Data

Interpreting the Scatterplots

Figure 1.1. Scatterplot of highest stock prices of Microsoft based on data from Yahoo Finance
(2019)

Figure 1.1 depicts the trend in the highest stock prices of Microsoft from February 2018

to February 2019. The graph explains the relationship between two variables: highest stock

prices (in U.S. dollars) on the y-axis, which is the dependent variable, and time (in days) on the

x-axis, which is the independent variable. The scatterplot is linear: The highest stock prices show

an approximately positive relationship with time in 2018. The highest stock prices for Microsoft

increased in value in 2018. However, the relationship is moderately strong, as there is no

significant increase in the value of the highest stock prices with time and there have been small

0

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140

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e

s

i
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.S

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ol

la

rs

Time in Days

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 4

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

drops in prices toward the end of 2018 and subsequent rises in February 2019. There is a

noticeable absence of significant outliers.

Figure 1.2. Scatterplot of lowest stock prices of Microsoft based on data from Yahoo Finance
(2019)

Figure 1.2 presents the trends in Microsoft’s lowest stock prices from February 2018 to

February 2019. The graph depicts the relationship between lowest stock prices (in U.S. dollars)

on the y-axis, the dependent variable, and time (in days) on the x-axis, the independent variable.

The scatterplot presents a moderately positive relationship between the lowest stock prices and

time. The value of the lowest stock prices increased for approximately seven months from March

to October, with small drops and recoveries between October and December. The scatterplot

takes a positive linear form with a small slope, indicating low volatility in the lowest stock

prices. The scatterplot also helps us understand that there are no significant outliers, which

confirms the stability of Microsoft’s market shares.

0
20
40
60
80
100
120
140
12/31/2017 2/19/2018 4/10/2018 5/30/2018 7/19/2018 9/7/2018 10/27/201812/16/2018 2/4/2019 3/26/2019
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in
U

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. D

ol
la

rs
Time in Days

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 5

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

Interpreting the Histograms

Figure 2.1. Histogram of adjusted closing stock prices of Microsoft based on data from Yahoo
Finance (2019)

Figure 2.1 presents the number of occurrences of daily adjusted closing stock prices

falling within equally distributed continuous data ranges. The ranges of adjusted closing stock

prices are marked on the x-axis, and the number of occurrences of prices falling within the

ranges of adjusted closing stock prices is marked on the y-axis. The histogram is skewed to the

left; that is, a majority of the data points fall within the higher ranges of daily adjusted closing

stock prices. This indicates that the histogram is negatively skewed with the median being

greater than the mean, indicating volatility in the adjusted closing stock prices of Microsoft in the

market.

0

10

20

30

40

50

60

70

80

90 95 100 105 110 115 More

N
um

be
r

of
O

cc
ur

en
ce

s

Ranges of Adjusted Closing Stock Prices

Frequency

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 6

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

Figure 2.2. Histogram of stock volume of Microsoft based on data from Yahoo Finance (2019)

Figure 2.2 presents the number of occurrences of Microsoft’s daily stock volumes being

bought or sold within continuous data ranges. The ranges of stock volume are marked on the x-

axis, and the number of occurrences of stock volumes falling within the ranges is marked on the

y-axis. The histogram is skewed to the right, indicating that a majority of the daily stock volume

data points fall within the lower ranges of the stock volume. This indicates that the histogram is

positively skewed with the mean being greater than the median. With 80% of the data points

falling within the lower ranges of stock volume, the histogram is strongly skewed to the right,

indicating unequal distribution and difficulty in speculating the daily stock volume of Microsoft.

Descriptive Statistics

Mean, Median, and Standard Deviation of Adjusted Closing Stock Prices

The mean, or the average value of a data set, of Microsoft’s adjusted closing stock prices

is 101.939 U.S. dollars, indicating the healthy market standing of Microsoft’s stock. It is

indicative of the company’s stable growth in revenue and profits throughout the year.

0
20
40
60
80
100
120
N
um
be
r
of
O
cc
ur
en
ce
s

Ranges of Stock Volume

Frequency

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 7

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

While mean is the average value of a data set, median is the data point that corresponds to

the middle value in the data set. The median for Microsoft’s adjusted closing stock prices is

103.249 U.S. dollars, which is greater than the mean, indicating the presence of outliers on the

lower side of the stock prices; this highlights the prevalence of fluctuations in Microsoft’s stock

value. This difference in mean and median also indicates asymmetry in the distribution of values

for adjusted closing prices. The standard deviation for the adjusted closing stock prices is 6.953

U.S. dollars; considering that the average stock price is 101.939 U.S. dollars, the volatility is

6.7%. The standard deviation is representative of the volatility in the stock pricing and, therefore,

helps understand the level of risk involved in investing in a stock. The standard deviation

suggests the prevalence of moderate risk in purchasing Microsoft’s shares.

Mean, Median, and Standard Deviation of Daily Traded Stock Volume

The mean of Microsoft’s daily traded stock volume from February 2018 to February

2019 is 31,210,598, which is indicative of the high liquidity of the company’s stock (Seth, 2018).

Considering that a stock that is traded at fewer than 10,000 shares each day is deemed a low-

volume stock (Seth, 2018), Microsoft’s daily traded stock volume is representative of a large

number of prospective buyers and, therefore, a highly valuable publicly traded firm. The median

for the stock volume is 28,123,200, which is less than the mean. This indicates the presence of

outliers on the higher side of the data set and, therefore, shows that the company has significant

spikes in its daily tradable stock volume. The standard deviation is found to be 12,909,909.8,

which is equivalent to 41.3% of the mean for stock volume. A standard deviation of

12,909,909.8 is representative of high volatility in the data set, which shows a considerable lack

of consistency in the volume of Microsoft’s stock.

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 8

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

Conclusion

The graphical representations and statistical calculations of Microsoft’s stock history

gives valuable insights that could help management make decisions about the launch of new

products and expansion. Some important trends that leaders should be aware of are as follows:

• While there is a gradual rise in the highest and lowest stock prices for the second and

third quarter, the fourth quarter is characterized by moderate falls and recoveries in the

highest and lowest stock prices;

• More than one fourth of the adjusted closing stock prices fell within the high-value range

of 105 to 110, which is a signal of high demand;

• A volatility of 41.3% for daily traded stock volume indicates great unpredictability in the

exchange rate of Microsoft’s stock. High volatility in stock volume usually indicates

unexpected earnings by a firm or the dissemination of good or bad news about the

firm/industry in the market (Morah, 2018).

Awareness of trends in stock prices may help management decide to launch products or

upgrade offerings in the early and later parts of the year, which may create hype and push sales

during these periods; this may facilitate a further increase in gross revenue and profits during the

stable periods of the third and fourth quarters. The histogram for adjusted closing stock prices

shows that a large number of data points fall within the high-value range of 105 and 110 U.S.

dollars with significant stock volume exchanged daily. This may inspire management to double

stock volume by halving stock prices, which may help increase the demand for the stock and,

therefore, improve market capitalization for the company.

The scatterplots for the highest and lowest daily stock prices indicate a positive linear

correlation between time and stock value, which helps understand the impact of the improved

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 9

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

growth in Microsoft’s revenue in 2018 compared with preceding years. The scatterplots also

indicate better valuation of prices in the start of 2019 than in 2018; this demonstrates the impact

of the company’s quarterly performance, namely generating 32.5 billion U.S. dollars in revenue,

on its market valuation at the start of 2019. Interpreting the histograms helps understand that

while the median for adjusted closing stock prices was relatively on the higher range of the data

set, the median for stock volume was on the lower range of the data set, reflecting high demand

for Microsoft’s stocks and, at the same time, a reservation on the part of Microsoft’s

shareholders to sell. This trend coincides with the fact that Microsoft, during the period,

improved in its distribution of dividends (Weise, 2019), which could be why the rate of change

in Microsoft’s traded volume was lower than the rate of change in its stock pricing.

APPLYING ANALYTIC TECHNIQUES TO BUSINESS 10

Copyright ©2019 Capella University. Copy and distribution of this document are prohibited.

References

Belanger, L. (2018, April 4). 10 amazing moments in Microsoft’s history, from its founding to

desktop dominance to today. Entrepreneur India. Retrieved from

https://entrepreneur.com/article/311468

Morah, C. (2018, March 2). Are stocks with large daily volume less volatile? Retrieved from

https://investopedia.com/ask/answers/09/daily-volume-volatility.asp

Seth, S. (2018, January 10). The risks of trading low-volume stocks. Retrieved from

https://www.investopedia.com/articles/active-trading/051415/risks-trading-lowvolume-

stocks.asp

Simply Wall St. (2019). Microsoft Corporation (NASDAQ: MSFT): What does the future look

like? Retrieved from https://simplywall.st/stocks/us/software/nasdaq-

msft/microsoft/news/microsoft-corporation-nasdaqmsft-what-does-the-future-look-like/

StatCounter. (2019). Operating system market share worldwide. Retrieved from

http://gs.statcounter.com/os-market-share

Weise, K. (2019, January 30). Releasing earnings, Microsoft stays in stride, with cloud powering

the way. The New York Times. Retrieved from

https://nytimes.com/2019/01/30/technology/microsoft-

earnings.html?rref=collection%2Ftimestopic%2FMicrosoft%20Corporation

Yahoo Finance. (2019). Microsoft Corporation (MSFT) [Data set]. Retrieved from

https://finance.yahoo.com/quote/msft/profile/

Ford Company

.4

6

3

5

9825

8.65 8.5

8.4

52337

8.45 8.57 8.42 8.57 7.899825

8.61

7

8.61 8.7

8.67

8.5

8.69

442

8.63 8.67 8.52

8.65 8.47 8.51 7.844517

8.54

8.54 8.76

4968

8.62

8.65

8.8

8.86 9 8.86

8

7

3

8272

9.18

9.17 9.3

4559

9.27

9.17 9.21

9.2

9.35

1

9.33

9.33 8.752703

9.32 9.4 9.24 9.36

9.4

9.39 9.5

9.48

9.58 9.58

9.5 8.912184

9.36

9.3 9.5

516

9.45

9.4

1881

9.52

9.4

5

5

2548

6

36762

9

10.45

0675

10.5

10.3

10.3

10.2

5827

10.45 10.3 10.41 9.922548

2

10.37

10.41 10.3

3953

Adj Close Volume

10.38 10.45

10.34 9.855827

6160233

10.3 10.07 10.2

2

2382

10.32 10.41 10.2 10.38 9.893953

39796300

10.26

10.29

0509

10.4 10.04

4889

10.3

10.3 10.4

3016

10.32 10.44 10.24 10.29

10.3 10.3 10.2

8635

10.31 10.31 10.15 10.24 9.760509

10.17 10.21

9.85 9.85

9.85

8772

9.92

9.8

9.87 9.9

9.55

9.74

3922

9.48

9.32 9.52

9.62

9.46 9.61

0008

9.95 9.72 9.92

9.87 9.92 9.65 9.78 9.322048

9.72

9.75

3454

9.76 9.82 9.7 9.76

9.89 10.03 9.76 9.82

9.87

9.79 9.92 9.455493

9.9 9.93 9.84 9.85 9.388772

9.87

9.8 10.06

10.04

9.98

9.94

10.08 10.2 10.05 10.1

10.15

10.03 10.04

9874

10.13 10.15 9.95 10.04 9.569874

10.03 10.05 9.91 9.99

9.95

9.93 9.95

9.97 9.99 9.83 9.84

9239

9.87 9.96 9.82 9.91

10.04 10.24 10 10.2 9.722382

10.2 10.31 10.2

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10.07 10.15

10.15 10.21 10.04 10.12

10.18 10.3 10.13 10.2 9.722382

10.18 10.27 10.09 10.2 9.722382

10.2 10.26 10.18 10.2 9.722382

10.17

10.1

10.19 10.26

10.11

10.15 10.2 10.11 10.19

10.24 10.5 10.24

10.49

10.34 10.42

10.37

10.29 10.51

10.48 10.5 10.31 10.33

10.3 10.31 10.18 10.26

10.3 10.32 10.2 10.2 9.722382

10.13 10.17 10 10.02

10.13

10.06 10.17

10.18 10.35 10.14 10.33

9.75 9.78 9.4 9.56

9.58 9.65 9.51 9.57

9.6 9.68 9.52 9.6

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9.53

9.28

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7483

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9

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8.9

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9.13 9.3 9.11 9.17 8.871069

9.13 9.23 9.08 9.16

9.23 9.05 9.11

9.1 9.23

9.2 8.900091

9.23 9.23 9.07 9.14

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9.14 9.6 9.06 9.08

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9.19 9.24 8.87 8.9

8.86

8.61

8.55 8.71 8.45 8.71

8.72 8.76 8.66 8.74

8.7 8.79 8.61

8.65 8.66 8.5 8.54

1606

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8.82 8.84 8.76 8.82 8.532478

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9.11 9.19 9.06 9.07 8.774328

9.12 9.14 9.03 9.11 8.813025

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8.87 8.89 8.55 8.6

8.67 8.75 8.62 8.72

8.76 8.76 8.58 8.61

8.59 8.71 8.59 8.64

8.64 8.64 8.52 8.54

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8.93 9.05 8.93 9

9.02 9.15 9 9.02

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8.9 9.04 8.82 9.04

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8.85 8.91 8.78 8.79

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8.99 9 8.87 8.9

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8.9 9.01 8.87 9 8.849499

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9.03 9.15 9.02 9.1

9.04 9.1 9.03 9.06

9.08 9.14 9 9.01 8.859331

8.95 8.95 8.8 8.89 8.741339

8.95 9.03 8.94 8.95 8.800335

8.97 9 8.88 8.93

8.96 9.07 8.95 9.02 8.869164

8.97 9.07 8.96 9.01 8.859331

9.02 9.1 8.96 9.07 8.918327

9.06 9.14 9.06 9.11

9.11 9.36 9.11 9.32

9.32 9.39 9.19 9.23

9.24 9.39 9.22 9.39

9.38 9.41 9.31 9.39 9.232977

9.39 9.57 9.36 9.54

9.55 9.57 9.38 9.41

9.5 9.54 9.44 9.48

9.5 9.57 9.4 9.44

9.44

9.43 9.47

9.47 9.49 9.43 9.45

9.45 9.46 9.35 9.36

9.34 9.35 9.23 9.25

9.25 9.33 9.25 9.3

9.29 9.42 9.19 9.42

9.31 9.37 9.15 9.21 9.055987

9.1 9.17 9.06 9.16

9.2 9.25 9.12 9.25 9.095318

9.23 9.3 9.17 9.25 9.095318

9.3 9.31 9.18 9.26

9.27 9.36 9.25 9.25 9.095318 39796300

9.25 9.26 9.11 9.24

9.22 9.33 9.21 9.29

9.27 9.3 9.18 9.19

9.23 9.28 9.15 9.17

9.19 9.23 9.13 9.16 9.006823

9.15 9.22 9.1 9.21 9.055987

9.22 9.25 9.15 9.16 9.006823

9.14 9.16 8.93 9.14

9.11 9.12 8.96 9 8.849499

8.88 8.96 8.78 8.89 8.741339

8.94 9 8.86 8.97

8.85 8.96 8.84 8.86 8.86

8.81 8.84 8.73 8.84 8.84

8.78 8.84 8.74 8.82 8.82

8.85 9.14 8.85 8.98 8.98

9.08 9.24 9.07 9.18 9.18

8.41 8.48 8.26

8.31

8.37

8.25 8.25

8.21

1

8.11

8.15

8.06

8.1 8.15

8.1 8.1

8.33

8.24

8.21

8.21 8.25 8.25

8.27 8.08 8.1 8.1

8.15 8.02 8.06 8.06

8.06 8.1 8 8 8

8 8.07

8.03

8.02 8.03 7.89 7.89 7.89

7.7

7.57

7.68

2

7.23

7.21 7.21

6.97

7

6.96 6.96

7.23

7.2 7.2

6.97 6.97

7.09 6.92

7.08

6.96 6.97

6.74

6.6

6.49

7

7

5.9 5.9

5.8

5.9919

																Date	Open	High	Low	Close		Adj Close		Volume
3/11/1															9						8				8.6			8.45							8.61	7.936697	36875300
3/12/19						8.65				8.7					8.5			8.57					7.89	37805000
3/13/19				8.59	8.53	7.862954	49018700
3/14/19				8.52			8.55		8.41		7.7	36307900
3/15/19		8.42		8.47		8.37	8.43	7.770773	66555500
3/18/19	37198300
3/19/19					8.8	8.019659	57293600
3/20/19					8.67		8.48		8.51		7.844517	54539700
3/21/19		8.69	8.49	8.0		10	46843100
3/22/19					8.54	7.872172	41964000
3/25/19			8.56	45849500
3/26/19							8.76		8.07	47852100
3/27/19			8.75								8.86				8.62	7.945916	39895800
3/28/19	8.83							8.64				8.77	8.227353	38914700
3/29/19											8.89					8.71							8.78	8.236733	33962800
4/1/19							8.9	8.424358	45653100
4/2/19									8.95								9.03					8.91									9.01	8.452501	30699400
4/3/19											9.07									9.2											9.06																	9.1	8.565078	56663600
4/4/19									9.21									9.3										9.18								9.24			8.66	39483100
4/5/19									9.17				9.27							9.08														9.25	8.677652	37854700
4/8/19								9.32				8.72	26221100
4/9/19											9.36	8.640128	29879100
4/10/19														9.23				9.35						9.33		8.752703	28469500
4/11/19									9.4											9.39	8.80899	26488100
4/12/19				9.47				9.6					9.44							9.45	8.865276	38646000
4/15/19							9.48						9.5						9.26	41206700
4/16/19	8.780846	40950000
4/17/19							9.58		8.912184	30688300
4/18/19				9.52			9.62				9.55	8.95909	29843000
4/22/19			9.46	38718500
4/23/19				9.51										9.05	39493700
4/24/19		9.61						9.57					9.12			39796300
4/25/19				9.53					9.34	8.959842	52596700
4/26/19				10.03						10.4				9.9				10.41						9.92	156136700
4/29/19													10.3	10.39			10.07				10.32			9.8	62500500
4/30/19																	10.2				10.5		10.27		9.96	46079300
5/1/19		10.48			10.29	9.817699	41805500
5/2/19		10.35				10.34						9.85	34508400
5/3/19			10.37	36291200
5/6/19				10.1		10.42	10.12	9.884421	28640600
5/7/19			10.33			10.38			9.89	41154500
5/8/19						10.31	33472200	Mean						8.87	43429127.98
5/9/19					10.26					9.7	43621300	Median			8.918327		37551600
5/10/19	37629500	Mode					9.722382
5/13/19					10.17							10.04		10.08	9.608002	51102100	S.D	0.694195498	22767036.9
5/14/19							10.15					10.13						10.24					9.76	31297200
5/15/19			10.21	10.36						9.87	44050200
5/16/19		10.44			9.91	32697000
5/17/19	9.808168	34565400
5/20/19	10.28		9.79	29535900
5/21/19	30099300
5/22/19			9.93		9.97	9.503152	51407200
5/23/19	9.67				9.38	43153800
5/24/19				9.95		9.83	9.369707	22131500
5/28/19	9.77			9.78		9.322048	27656200
5/29/19	9.69			9.75	9.71	9.255326	32262600
5/30/19		9.74			9.84		9.68						9.28	24759600
5/31/19					9.54	9.074224	48250400
6/3/19				9.65								9.16	39446800
6/4/19	9.73		9.455493	37324100
6/5/19	42464800
6/6/19				9.82	9.66								9.29	28291100
6/7/19	9.302985	18848700
6/10/19	9.360175	33883400
6/11/19		9.98	26434200
6/12/19	21727500
6/13/19			10.06	9.588937	25555900
6/14/19	10.01		9.94	9.512683	21553200
6/17/19			9.99		10.09			10.05	9.579405	19383800
6/18/19	9.627065	32591700
6/19/19						10.18							9.56	29051300
6/20/19	32086500
6/21/19	9.522215	47904000
6/24/19		10.02	9.484088	28091200
6/25/19			9.37	28682000
6/26/19	9.445961	33739100
6/27/19	42954600
6/28/19	10.23	9.750978
7/1/19	10.43	9.674723	38537000
7/2/19	9.646129	29708000
7/3/19	19326600
7/5/19	21397900
7/8/19	23244100
7/9/19			10.19		10.14	9.665193	25140600
7/10/19			10.11	9.636596	29082200
7/11/19	9.712851	27667500
7/12/19		10.49	9.998802	40761600
7/15/19	10.56	9.93208	33753500
7/16/19		10.51	10.017866	29530500
7/17/19	9.846294	25204400
7/18/19	9.779572	25828900
7/19/19	38505600
7/22/19	9.69336	36238600
7/23/19	10.22	9.83847	74624800
7/24/19	9.993254	61107500
7/25/19		9.248356	133898600
7/26/19	9.25803	47710200
7/29/19	9.287052	36487800
7/30/19	9.238682	36944700
7/31/19		9.219334	56715500
8/1/19		9.59						9.31	9.006506	58060800
8/2/19						8.97	41495200
8/5/19			8.92	47963400
8/6/19							9.42	9.170962	51856100
8/7/19					9.43	43042400
8/8/19	25469000
8/9/19												9.14	38739700
8/12/19					8.98	21978800
8/13/19	8.958136	28231500
8/14/19				9.13							9.15												8.96		8.706611	45967400
8/15/19	8.571175	40682800
8/16/19			8.81		8.667914	27369900
8/19/19									9.02						8.73	21844000
8/20/19						8.93	25108600
8/21/19										9.04				8.74	20434800
8/22/19	20974700
8/23/19		8.99	8.484109	44982300
8/26/19					8.88				8.79						8.82		8.532478	31888200
8/27/19	8.474435	23024400
8/28/19	35147300
8/29/19	8.8227	22011000
8/30/19		8.871069	32057900
9/3/19		8.803351	26331000
9/4/19		8.900091	27406400
9/5/19		9.035527	36626800
9/6/19				9.41	29210100
9/9/19						9.22	48059400
9/10/19												9.11	70561200
9/11/19	34190300
9/12/19	9.103246	35687700
9/13/19	9.141941	27161300
9/16/19	8.996831	50052600
9/17/19	8.977483	27391200
9/18/19				8.94	24309400
9/19/19	28780700
9/20/19	37491300
9/23/19		8.861395	22051100
9/24/19								9.19		8.813025	33092500
9/25/19			9.09	20510300
9/26/19								8.84	26556300
9/27/19	8.784003	32459500
9/30/19	21510000
10/1/19	8.60987	39559500
10/2/19							8.85	8.44	8.329324	68137000
10/3/19	8.426064	40827900
10/4/19	8.455086	27827400
10/7/19		8.68	8.397042	29340400
10/8/19		8.26	31091200
10/9/19	8.280955	16898500
10/10/19			8.58		8.33	28069600
10/11/19	8.493782	34175700
10/14/19	24794500
10/15/19		8.774328	29771700
10/16/19	27190300
10/17/19	28361200
10/18/19	42422900
10/21/19	8.878997	33610200
10/22/19	35878500
10/23/19			9.055987	44770400
10/24/19	8.456188	120395200
10/25/19	8.574182	51373600
10/28/19	8.46602	39635300
10/29/19	8.495519	36771800
10/30/19	8.397191	28685300
10/31/19	8.446355	29124100
11/1/19					8.741339	55354900
11/4/19			8.849499	46716500
11/5/19		8.869164	37569700
11/6/19	8.770837	39497700
11/7/19	32640400
11/8/19		8.888829	29476800
11/11/19	8.928161	24846600
11/12/19	28703900
11/13/19	8.662676	34491200
11/14/19	8.64301	26527800
11/15/19			8.800335	26416300
11/18/19	38291400
11/19/19	8.75117	31168900
11/20/19	8.584013	38271500
11/21/19	8.564348	33161400
11/22/19	34966700
11/25/19	30580900
11/26/19			8.859331	30093800
11/27/19	8.947826	37396100
11/29/19	8.908496	13096200
12/2/19	37232700
12/3/19	40653100
12/4/19	29982900
12/5/19	8.780669	25768600
12/6/19	31086900
12/9/19	21772900
12/10/19	34217700
12/11/19	8.957659	33204200
12/12/19	9.164147	48390900
12/13/19	9.075652	35334500
12/16/19		9.232977	42337600
12/17/19	35503900
12/18/19	9.380468	45905300
12/19/19	9.252643	42236000
12/20/19	9.321471	50191200
12/23/19	9.282141	54784400
12/24/19		9.49	9.31164	11881600
12/26/19	9.291973	28961300
12/27/19	9.203478	28272800
12/30/19				9.095318	36074900
12/31/19	9.144482	32342100
1/2/20	9.262475	43425700
1/3/20	45040800
1/6/20			9.006823	43372300
1/7/20	44984100
1/8/20	45994900
1/9/20	9.105151	51817400
1/10/20
1/13/20	9.085485	48553700
1/14/20	9.134649	42935600
1/15/20	9.036321	55923900
1/16/20	9.016656	44310400
1/17/20	41644900
1/21/20	49556400
1/22/20	39914800
1/23/20	8.987158	75848700
1/24/20	68100900
1/27/20	60769300
1/28/20	8.820001	85163400
1/29/20	59057400
1/30/20	42827800
1/31/20	59813700
2/3/20	71432700
2/4/20	86196400
2/5/20		8.31	145792500
2/6/20	8.38					8.25	68823400
2/7/20				8.21			8.02								8.1	98256500
2/10/20				8.15	8.05					8.06	71834900
2/11/20		8.08	80164500
2/12/20	8.14	8.13		8.24	111536800
2/13/20	8.36	67648800
2/14/20		8.27	46359700
2/18/20	8.12	65094800
2/19/20	69668200
2/20/20	7.99			8.03	52318200
2/21/20	58326300
2/24/20	7.72	7.55		7.57	110048200
2/25/20		7.68			7.2			7.23	108888300
2/26/20	7.3	7.46			7.21	92469500
2/27/20	7.13	7.28		6.92					6.97	118642400
2/28/20	6.84				6.96		6.6	116546700
3/2/20	7.11	6.88	96766000
3/3/20	7.29	7.34	6.89	97457800
3/4/20		7.09		7.08	70588100
3/5/20	6.71		6.74	78070900
3/6/20	6.68	6.4		6.49	109932200
3/9/20			5.9	6.14		5.8	103770200
3/10/20	6.26	6.29		5.9919	62180680

High 43535 43536 43537 43538 43539 43542 43543 43544 43545 43546 43549 43550 43551 43552 43553 43556 43557 43558 43559 43560 43563 43564 43565 43566 43567 43570 43571 43572 43573 43577 43578 43579 43580 43581 43584 43585 43586 43587 43588 43591 43592 43593 43594 43595 43598 43599 43600 43601 43602 43605 43606 43607 43608 43609 43613 43614 43615 43616 43619 43620 43621 43622 43623 43626 43627 43628 43629 43630 43633 43634 43635 43636 43637 43640 43641 43642 43643 43644 43647 43648 43649 43651 43654 43655 43656 43657 43658 43661 43662 43663 43664 43665 43668 43669 43670 43671 43672 43675 43676 43677 43678 43679 43682 43683 43684 43685 43686 43689 43690 43691 43692 43693 43696 43697 43698 43699 43700 43703 43704 43705 43706 43707 43711 43712 43713 43714 43717 43718 43719 43720 43721 43724 43725 43726 43727 43728 43731 43732 43733 43734 43735 43738 43739 43740 43741 43742 43745 43746 43747 43748 43749 43752 43753 43754 43755 43756 43759 43760 43761 43762 43763 43766 43767 43768 43769 43770 43773 43774 43775 43776 43777 43780 43781 43782 43783 43784 43787 43788 43789 43790 43791 43794 43795 43796 43798 43801 43802 43803 43804 43805 43808 43809 43810 43811 43812 43815 43816 43817 43818 43819 43822 43823 43825 43826 43829 43830 43832 43833 43836 43837 43838 43839 43840 43843 43844 43845 43846 43847 43851 43852 43853 43854 43857 43858 43859 43860 43861 43864 43865 43866 43867 43868 43871 43872 43873 43874 43875 43879 43880 43881 43882 43885 43886 43887 43888 43889 43892 43893 43894 43895 43896 43899 43900 8.6300000000000008 8.6999999999999993 8.65 8.5500000000000007 8.4700000000000006 8.57 8.8699999999999992 8.67 8.69 8.67 8.65 8.76 8.86 8.83 8.89 9 9.0299999999999994 9.27 9.3000000000000007 9.27 9.32 9.36 9.35 9.41 9.6 9.5 9.4 9.58 9.6199999999999992 9.58 9.51 9.61 9.5299999999999994 10.45 10.39 10.5 10.5 10.35 10.45 10.42 10.41 10.45 10.3 10.41 10.26 10.29 10.4 10.44 10.44 10.3 10.31 10.210000000000001 9.85 9.9499999999999993 9.9 9.75 9.84 9.5399999999999991 9.65 9.9499999999999993 9.92 9.82 9.82 10.029999999999999 9.98 9.93 10.06 10.039999999999999 10.09 10.199999999999999 10.18 10.15 10.050000000000001 10.02 9.99 9.9600000000000009 10.24 10.31 10.43 10.210000000000001 10.3 10.27 10.26 10.19 10.26 10.199999999999999 10.5 10.56 10.51 10.5 10.31 10.32 10.17 10.220000000000001 10.35 9.7799999999999994 9.65 9.68 9.58 9.58 9.59 9.34 9.27 9.51 9.56 9.6199999999999992 9.58 9.43 9.42 9.15 9.06 9 9.1 9.07 9.05000000 00000007 9.14 8.99 8.91 8.91 9.0399999999999991 9.14 9.23 9.1999999999999993 9.23 9.4 9.41 9.65 9.42 9.43 9.48 9.59 9.4499999999999993 9.31 9.36 9.33 9.3000000000000007 9.23 9.23 9.23 9.23 9.6 9.2100000000000009 9.24 8.86 8.7100000000000009 8.76 8.7899999999999991 8.66 8.64 8.65 8.8699999999999992 8.84 9.1 9.19 9.14 9.32 9.24 9.14 9.2100000000000009 8.89 8.75 8.76 8.7100000000000009 8.64 8.6 8.93 9.0500000000000007 9.15 9.0500000000000007 9.01 9.0399999999999991 9.1 9.1300000000000008 9 8.91 8.9600000000000009 9.0500000000000007 9 8.89 8.7899999999999991 8.9 9.01 9.02 9.15 9.1 9.14 8.9499999999999993 9.0299999999999994 9 9.07 9.07 9.1 9.14 9.36 9.39 9.39 9.41 9.57 9.57 9.5399999999999991 9.57 9.49 9.49 9.4600000000000009 9.35 9.33 9.42 9.3699999999999992 9.17 9.25 9.3000000000000007 9.31 9.36 9.26 9.33 9.3000000000000007 9.2799999999999994 9.23 9.2200000000000006 9.25 9.16 9.1199999999999992 8.9600000000000009 9 8.9600000000000009 8.84 8.84 9.14 9.24 8.48 8.3800000000000008 8.2100000000000009 8.15 8.15 8.33 8.36 8.27 8.15 8.1 8.07 8.0299999999999994 7.72 7.68 7.46 7.28 6.96 7.23 7.34 7.09 6.97 6.68 6.14 6.29

Low 43535 43536 43537 43538 43539 43542 43543 43544 43545 43546 43549 43550 43551 43552 43553 43556 43557 43558 43559 43560 43563 43564 43565 43566 43567 43570 43571 43572 43573 43577 43578 43579 43580 43581 43584 43585 43586 43587 43588 43591 43592 43593 43594 43595 43598 43599 43600 43601 43602 43605 43606 43607 43608 43609 43613 43614 43615 43616 43619 43620 43621 43622 43623 43626 43627 43628 43629 43630 43633 43634 43635 43636 43637 43640 43641 43642 43643 43644 43647 43648 43649 43651 43654 43655 43656 43657 43658 43661 43662 43663 43664 43665 43668 43669 43670 43671 43672 43675 43676 43677 43678 43679 43682 43683 43684 43685 43686 43689 43690 43691 43692 43693 43696 43697 43698 43699 43700 43703 43704 43705 43706 43707 43711 43712 43713 43714 43717 43718 43719 43720 43721 43724 43725 43726 43727 43728 43731 43732 43733 43734 43735 43738 43739 43740 43741 43742 43745 43746 43747 43748 43749 43752 43753 43754 43755 43756 43759 43760 43761 43762 43763 43766 43767 43768 43769 43770 43773 43774 43775 43776 43777 43780 43781 43782 43783 43784 43787 43788 43789 43790 43791 43794 43795 43796 43798 43801 43802 43803 43804 43805 43808 43809 43810 43811 43812 43815 43816 43817 43818 43819 43822 43823 43825 43826 43829 43830 43832 43833 43836 43837 43838 43839 43840 43843 43844 43845 43846 43847 43851 43852 43853 43854 43857 43858 43859 43860 43861 43864 43865 43866 43867 43868 43871 43872 43873 43874 43875 43879 43880 43881 43882 43885 43886 43887 43888 43889 43892 43893 43894 43895 43896 43899 43900 8.4499999999999993 8.5500000000000007 8.5 8.4 8.3699999999999992 8.42 8.61 8.48 8.49 8.52 8.4700000000000006 8.5399999999999991 8.6199999999999992 8.64 8.7100000000000009 8.86 8.91 9.06 9.18 9.08 9.17 9.17 9.1999999999999993 9.33 9.44 9.26 9.24 9.39 9.48 9.4600000000000009 9.3000000000000007 9.4 9.34 9.9499999999999993 10.07 10.27 10.29 10.199999999999999 10.3 10.119999999999999 10.3 10.31 10.07 10.199999999999999 10.039999999999999 10.130000000000001 10.039999999999999 10.3 10.24 10.199999999999999 10.15 9.93 9.67 9.8000000000000007 9.77 9.5500000000000007 9.68 9.32 9.4600000000000009 9.7200000000000006 9.65 9.66 9.6999999999999993 9.76 9.7899999999999991 9.84 9.8000000000000007 9.94 9.94 10.050000000000001 10.029999999999999 9.9499999999999993 9.91 9.93 9.83 9.82 10 10.199999999999999 10.07 10.039999999999999 10.130000000000001 10.09 10.18 10.1 10.11 10.11 10.24 10.34 10.29 10.31 10.18 10.199999999999999 10 10.06 10.14 9.4 9.51 9.52 9.48 9.4 9.2799999999999994 9.2100000000000009 9.06 9.36 9.32 9.51 9.39 9.2799999999999994 9.18 8.9600000000000009 8.7799999999999994 8.81 9.02 8.93 8.9700000000000006 9.02 8.73 8.7899999999999991 8.75 8.6999999999999993 9.0299999999999994 9.1 9.0399999999999991 9.07 9.25 9.1999999999999993 9.39 9.0399999999999991 9.2899999999999991 9.32 9.44 9.24 9.18 9.2200000000000006 9.1 9.11 9.08 9.0500000000000007 9.09 9.07 9.06 9.1 8.8699999999999992 8.44 8.4499999999999993 8.66 8.61 8.5 8.56 8.52 8.73 8.76 8.7799999999999994 9.06 9.0299999999999994 9.09 9.01 8.9600000000000009 8.9700000000000006 8.5500000000000007 8.6199999999999992 8.58 8.59 8.52 8.5 8.64 8.93 9 8.89 8.8800000000000008 8.82 8.94 9.0399999999999991 8.8000000000000007 8.7799999999999994 8.85 8.89 8.8699999999999992 8.68 8.67 8.77 8.8699999999999992 8.91 9.02 9.0299999999999994 9 8.8000000000000007 8.94 8.8800000000000008 8.9499999999999993 8.9600000000000009 8.9600000000000009 9.06 9.11 9.19 9.2200000000000006 9.31 9.36 9.3800000000000008 9.44 9.4 9.43 9.43 9.35 9.23 9.25 9.19 9.15 9.06 9.1199999999999992 9.17 9.18 9.25 9.11 9.2100000000000009 9.18 9.15 9.1300000000000008 9.1 9.15 8.93 8.9600000000000009 8.7799999999999994 8.86 8.84 8.73 8.74 8.85 9.07 8.26 8.25 8.02 8.0500000000000007 8.08 8.1300000000000008 8.2100000000000009 8.08 8.02 8 7.99 7.89 7.55 7.22 7.21 6.92 6.67 6.88 6.89 6.92 6.71 6.4 5.87 5.8

Running Head:

Assignment

2

Assignment

By:

[Name of the Student]

Course

Professor

[Name of institution]

March 10, 2019

Introduction of The Company: Ford Motors

Since the organization’s establishing in 1903, the name Ford has been similar with the car business. Company’s originator Henry Ford Sr. got known for development, changing vehicles into commodities for the general population and his organization into an American symbol.

On June 16, 1903, Henry Ford and 11 shareholders sign articles of integration for Ford Motor Business in Michigan. Ford presents the Model T in 1908, which got one of the most mainstream vehicles on the planet. It was around this time only a couple of vehicles daily were being created at a leased production line in Detroit. In the Model T’s first year a little more than 10,000 Model T’s were delivered. Since interest for the Model T’s turned out to be so high, the organization moved creation to a lot bigger plant in 1910. By 1913, Ford had built up the essential methods of a sequential construction system and had got creation down from 12 ½ hours to only 2 hours and 40 minutes, bringing down that much further to 1 hour and 33 minutes (A BRIEF HISTORY OF FORD MOTOR COMPANY).

As the second-biggest automobile enterprise in the world, Ford Motor Company speaks to a $164 billion global business realm. Referred to basically as a maker of vehicles, Ford additionally works Ford Credit, which produces more than $3 billion revenue, and possesses The Hertz Corporation, the biggest car rental organization in the world. The organization produces vehicles under the names Ford, Lincoln, Mercury, Jaguar, Volvo, Land Rover, and Aston Martin. Passage likewise keeps up controlling enthusiasm for Mazda Motor Corporation. Ford’s economic stability was disturbed in early years of the new century because of easing back deals, quality issues, and a calamity, including Firestone wheels. Henry Ford and his architects planned a few cars, everyone assigned by a letter of the alphabet set; these incorporated the little, four-chamber Model N, and the more extravagant six-chamber Model K (Gross, July 2000).

Scatterplot of the highest stock price

From the above graph we can see that share prices change because of supply and demand. If people want to purchase a stock (demand) than sell it, then the price rises. As we can see in the above graph on 11th march 2019 stock price was 8.63 and it was rises to 10.51 in 4 months which means that company was flourished then again market fluctuates and stock price face ups and down in the entire year. The Ford Motor company’s 52-week high stock price is 10.56, which is 68.7% overhead the present share price. In current days, stock price decreased to 6.29 from 10.56 which means people purchase the company’s stock when the price surpasses its 52-week high.

Traded on an open market organization place incredible significance on their stock share value, which comprehensively mirrors a company’s general financial health. Generally speaking, the higher a stock cost is, the more advantageous an organization’s possibilities become (HAYES, 2019).

Investment analysts ceremonially track a traded on an open market organization’s stock cost so as to check an organization’s financial wellbeing, advertising execution, and general practicality. A consistently rising offer value flags that an organization’s heavy hitters is guiding activities toward benefit. Moreover, if investors are satisfied, and the organization is tilting towards progress, as showed by a rising offer value, C-level administrators are probably going to hold their situations with the organization.

Scatterplot of the lowest stock price

From the above graph of the lowest stock price, we can see that on 11th march 2019 the stock price was 8.45 which went up to 10.14 in just 4 months and then it again fell down and goes these ups and downs continues in the entire year and ultimately in the year 2020, stock price of Ford company decreased to 5.8 in the month of march. The Ford Motor company’s 52-week low share price is 5.80, which is 7.3% underneath the present share price. when the price decreased below its 52-week low then people will sell their stocks. It means that when the current stock price decreased from 5.80 then that would be the right time for investors to sell the stocks (CHEN, 2019).

Histogram of Adjusted daily closing stock price

The adjusted closing price is a further complex breakdown that treats the closing price as an initial point, but it considers aspects such as dividends, stock separations and extra stock contributions to fix a value. The adjusted closing price signifies a more precise image of a stock’s value, meanwhile, distributions and new offerings can change the closing price. When a stock rises, or upsurges in value, the company may select to reward shareholders with a dividend. That dividend can derive either in the formula of money compensated per share or as an extra ratio of shares. When new stocks come in the marketplace, the price of the standing stocks reduced. The price reduced for the reason that the upsurge in the number of stocks makes each person share value decreased, just similar with stock separations. The adjusted closing price for the current offerings and the subsequent devaluation of each person shares (Bea Bischoff, 2019).

Histogram of Stock trading volume

Volume gauges the number of shares exchanged a stock or agreements exchanged prospects or alternatives. Volume can be an indication of market quality, as rising markets on expanding volume are commonly seen as solid and sound. At the point when prices fall on expanding volume, the pattern is gathering solidarity to the drawback. At the point when costs arrive at new highs on diminishing volume, look out; an inversion may be coming to success. A rising business sector should see the rising volume. Purchasers require expanding numbers and expanding passion so as to continue pushing costs higher. Expanding cost and diminishing volume may recommend an absence of intrigue, and this is a warning of a potential inversion.
Mean, Median, Mode, and Standard Deviation of the Adjusted Daily Closing Stock Price:

Adj Close

Mean

8.87616

Median

8.918327

Mode

9.722382

S. D

0.694195

These insights are significant for investigation since they give us various measurements about the Ford Company Stock. For instance, we can see that the median cost is 8.91 yet the average cost is 8.87 which permits a financial specialist to decide how the stock is getting along in contrast with the minimum and maximum of adjusted daily close. Standard Deviation gives us further knowledge into the stock since it permits us to measure or put a numerical incentive to speak to the variety in the stock concerning the adjusted daily close.

Mean, Median, Mode, and Standard Deviation of the Stock Volume:

Volume

Mean

43429128

Median

37551600

Mode

39796300

S. D

22767037

Stock volume is the number of shares or agreements traded in safety or a whole market throughout a year. For every purchaser, there is a vender, and each contract subsidizes to the sum of total volume. As for Ford company, 43 million is the average number of shares that has been traded in the year of 2019-20. And 37 million is the middle value of the total shares that has been traded.

Standard Deviation is a factual term that gives a great indication of unpredictability. It gauges how generally values closing prices are scattered from the average price.

References
A BRIEF HISTORY OF FORD MOTOR COMPANY. (n.d.). Retrieved from OSV: https://www.osv.ltd.uk/brief-history-of-ford/
Bea Bischoff, A. D. (2019, May 23). Adjusted Closing Price vs. Closing Price. Retrieved from The Nest: https://budgeting.thenest.com/adjusted-closing-price-vs-closing-price-32457.html
CHEN, J. (2019, October 13). 52-Week High/Low. Retrieved from Investopedia: https://www.investopedia.com/terms/1/52weekhighlow.asp
Ford Company. (n.d.). Retrieved from Yahoo Finance: https://finance.yahoo.com/quote/F/history
Gross, K. (July 2000). Ford: Big, Bigger, Biggest. Automotive Industries, 64.
HAYES, A. (2019, October 1). How to Understand a Stock Quote. Retrieved from Investopedia: https://www.investopedia.com/articles/investing/093014/stock-quotes-explained.asp

High 43535 43536 43537 43538 43539 43542 43543 43544 43545 43546 43549 43550 43551 43552 43553 43556 43557 43558 43559 43560 43563 43564 43565 43566 43567 43570 43571 43572 43573 43577 43578 43579 43580 43581 43584 43585 43586 43587 43588 43591 43592 43593 43594 43595 43598 43599 43600 43601 43602 43605 43606 43607 43608 43609 43613 43614 43615 43616 43619 43620 43621 43622 43623 43626 43627 43628 43629 43630 43633 43634 43635 43636 43637 43640 43641 43642 43643 43644 43647 43648 43649 43651 43654 43655 43656 43657 43658 43661 43662 43663 43664 43665 43668 43669 43670 43671 43672 43675 43676 43677 43678 43679 43682 43683 43684 43685 43686 43689 43690 43691 43692 43693 43696 43697 43698 43699 43700 43703 43704 43705 43706 43707 43711 43712 43713 43714 43717 43718 43719 43720 43721 43724 43725 43726 43727 43728 43731 43732 43733 43734 43735 43738 43739 43740 43741 43742 43745 43746 43747 43748 43749 43752 43753 43754 43755 43756 43759 43760 43761 43762 43763 43766 43767 43768 43769 43770 43773 43774 43775 43776 43777 43780 43781 43782 43783 43784 43787 43788 43789 43790 43791 43794 43795 43796 43798 43801 43802 43803 43804 43805 43808 43809 43810 43811 43812 43815 43816 43817 43818 43819 43822 43823 43825 43826 43829 43830 43832 43833 43836 43837 43838 43839 43840 43843 43844 43845 43846 43847 43851 43852 43853 43854 43857 43858 43859 43860 43861 43864 43865 43866 43867 43868 43871 43872 43873 43874 43875 43879 43880 43881 43882 43885 43886 43887 43888 43889 43892 43893 43894 43895 43896 43899 43900 8.6300000000000008 8.6999999999999993 8.65 8.5500000000000007 8.4700000000000006 8.57 8.8699999999999992 8.67 8.69 8.67 8.65 8.76 8.86 8.83 8.89 9 9.0299999999999994 9.27 9.3000000000000007 9.27 9.32 9.36 9.35 9.41 9.6 9.5 9.4 9.58 9.6199999999999992 9.58 9.51 9.61 9.5299999999999994 10.45 10.39 10.5 10.5 10.35 10.45 10.42 10.41 10.45 10.3 10.41 10.26 10.29 10.4 10.44 10.44 10.3 10.31 10.210000000000001 9.85 9.9499999999999993 9.9 9.75 9.84 9.5399999999999991 9.65 9.9499999999999993 9.92 9.82 9.82 10.029999999999999 9.98 9.93 10.06 10.039999999999999 10.09 10.199999999999999 10.18 10.15 10.050000000000001 10.02 9.99 9.9600000000000009 10.24 10.31 10.43 10.210000000000001 10.3 10.27 10.26 10.19 10.26 10.199999999999999 10.5 10.56 10.51 10.5 10.31 10.32 10.17 10.220000000000001 10.35 9.7799999999999994 9.65 9.68 9.58 9.58 9.59 9.34 9.27 9.51 9.56 9.6199999999999992 9.58 9.43 9.42 9.15 9.06 9 9.1 9.07 9.0500000000000007 9.14 8.99 8.91 8.91 9.0399999999999991 9.14 9.23 9.1999999999999993 9.23 9.4 9.41 9.65 9.42 9.43 9.48 9.59 9.4499999999999993 9.31 9.36 9.33 9.3000000000000007 9.23 9.23 9.23 9.23 9.6 9.2100000000000009 9.24 8.86 8.7100000000000009 8.76 8.7899999999999991 8.66 8.64 8.65 8.8699999999999992 8.84 9.1 9.19 9.14 9.32 9.24 9.14 9.2100000000000009 8.89 8.75 8.76 8.7100000000000009 8.64 8.6 8.93 9.0500000000000007 9.15 9.0500000000000007 9.01 9.0399999999999991 9.1 9.1300000000000008 9 8.91 8.9600000000000009 9.0500000000000007 9 8.89 8.7899999999999991 8.9 9.01 9.02 9.15 9.1 9.14 8.9499999999999993 9.0299999999999994 9 9.07 9.07 9.1 9.14 9.36 9.39 9.39 9.41 9.57 9.57 9.5399999999999991 9.57 9.49 9.49 9.4600000000000009 9.35 9.33 9.42 9.3699999999999992 9.17 9.25 9.3000000000000007 9.31 9.36 9.26 9.33 9.3000000000000007 9.2799999999999994 9.23 9.2200000000000006 9.25 9.16 9.1199999999999992 8.9600000000000009 9 8.9600000000000009 8.84 8.84 9.14 9.24 8.48 8.3800000000000008 8.2100000000000009 8.15 8.15 8.33 8.36 8.27 8.15 8.1 8.07 8.0299999999999994 7.72 7.68 7.46 7.28 6.96 7.23 7.34 7.09 6.97 6.68 6.14 6.29

Low 43535 43536 43537 43538 43539 43 542 43543 43544 43545 43546 43549 43550 43551 43552 43553 43556 43557 43558 43559 43560 43563 43564 43565 43566 43567 43570 43571 43572 43573 43577 43578 43579 43580 43581 43584 43585 43586 43587 43588 43591 43592 43593 43594 43595 43598 43599 43600 43601 43602 43605 43606 43607 43608 43609 43613 43614 43615 43616 43619 43 620 43621 43622 43623 43626 43627 43628 43629 43630 43633 43634 43635 43636 43637 43640 43641 43642 43643 43644 43647 43648 43649 43651 43654 43655 43656 43657 43658 43661 43662 43663 43664 43665 43668 43669 43670 43671 43672 43675 43676 43677 43678 43679 43682 43683 43684 43685 43686 43689 43690 43691 43692 43693 43696 43697 43698 43699 43700 43703 43704 43705 43706 43707 43711 43712 43713 43714 43717 43718 43719 43720 43721 43724 43725 43726 43727 43728 43731 43732 43733 43734 43735 43738 43739 43740 43741 43742 43745 43746 43747 43748 43749 43752 43753 43754 43755 43756 43759 43760 43761 43762 43763 43766 43767 43768 43769 43770 43773 43774 43775 43776 43777 43780 43781 43782 43783 43784 43787 43788 43789 43790 43791 43794 43795 43796 43798 43801 43802 43803 43804 43805 43808 43809 43810 43811 43812 43815 43816 43817 43818 43819 43822 43823 43825 43826 43829 43830 43832 43833 43836 43837 43838 43839 43840 43843 43844 43845 43846 43847 43851 43852 43853 43854 43857 43858 43859 43860 43861 43864 43865 43866 43867 43868 43871 43872 43873 43874 43875 43879 43880 43881 43882 43885 43886 43887 43888 43889 43892 43893 43894 43895 43896 43899 43900 8.4499999999999993 8.5500000000000007 8.5 8.4 8.3699999999999992 8.42 8.61 8.48 8.49 8.52 8.4700000000000006 8.5399999999999991 8.619999999999999 2 8.64 8.7100000000000009 8.86 8.91 9.06 9.18 9.08 9.17 9.17 9.1999999999999993 9.33 9.44 9.26 9.24 9.39 9.48 9.4600000000000009 9.3000000000000007 9.4 9.34 9.9499999999999993 10.07 10.27 10.29 10.199999999999999 10.3 10.119999999999999 10.3 10.31 10.07 10.199999999999999 10.039999999999999 10.130000000000001 10.039999999999999 10.3 10.24 10.199999999999999 10.15 9.93 9.67 9.8000000000000007 9.77 9.5500000000000007 9.68 9.32 9.4600000000000009 9.7200000000000006 9.65 9.66 9.6999999999999993 9.76 9.7899999999999991 9.84 9.8000000000000007 9.94 9.94 10.050000000000001 10.029999999999999 9.9499999999999993 9.91 9.93 9.83 9.82 10 10.199999999999999 10.07 10.039999999999999 10.130000000000001 10.09 10.18 10.1 10.11 10.11 10.24 10.34 10.29 10.31 10.18 10.199999999999999 10 10.06 10.14 9.4 9.51 9.52 9.48 9.4 9.2799999999999994 9.2100000000000009 9.06 9.36 9.32 9.51 9.39 9.2799999999999994 9.18 8.9600000000000009 8.7799999999999994 8.81 9.02 8.93 8.9700000000000006 9.02 8.73 8.7899999999999991 8.75 8.6999999999999993 9.0299999999999994 9.1 9.0399999999999991 9.07 9.25 9.1999999999999993 9.39 9.0399999999999991 9.2899999999999991 9.32 9.44 9.24 9.18 9.2200000000000006 9.1 9.11 9.08 9.0500000000000007 9.09 9.07 9.06 9.1 8.8699999999999992 8.44 8.4499999999999993 8.66 8.61 8.5 8.56 8.52 8.73 8.76 8.7799999999999994 9.06 9.0299999999999994 9.09 9.01 8.9600000000000009 8.9700000000000006 8.5500000000000007 8.6199999999999992 8.58 8.59 8.52 8.5 8.64 8.93 9 8.89 8.8800000000000008 8.82 8.94 9.0399999999999991 8.8000000000000007 8.7799999999999994 8.85 8.89 8.8699999999999992 8.68 8.67 8.77 8.8699999999999992 8.91 9.02 9.0299999999999994 9 8.8000000000000007 8.94 8.8800000000000008 8.9499999999999993 8.9600000000000009 8.9600000000000009 9.06 9.11 9.19 9.2200000000000006 9.31 9.36 9.3800000000000008 9.44 9.4 9.43 9.43 9.35 9.23 9.25 9.19 9.15 9.06 9.1199999999999992 9.17 9.18 9.25 9.11 9.2100000000000009 9.18 9.15 9.1300000000000008 9.1 9.15 8.93 8.9600000000000009 8.7799999999999994 8.86 8.84 8.73 8.74 8.85 9.07 8.26 8.25 8.02 8.0500000000000007 8.08 8.1300000000000008 8.2100000000000009 8.08 8.02 8 7.99 7.89 7.55 7.22 7.21 6.92 6.67 6.88 6.89 6.92 6.71 6.4 5.87 5.8