# Applying Analytic Techniques to Business

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 5-8 page
analytics report by interpreting those graphs and statistics, and
explicitly connecting those interpretations to implications in the
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
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
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
business problem you have been working on.
Scenario
The first step in creating meaningful information to develop a
analyzed raw data, effectively presents the analysis results in text and
graphical format, as well as calculate any required statistics.
The second step is interpreting and explaining the graphs and
statistics to understand the impact in the practical business context.
In the last assessment, you were asked to create the first part of
company stock data, developing graphs, and calculating some descriptive
statistics.
limitations of one year’s worth of data. You will use the same company
for this assessment and you will use 5 years of data!
of the data graphs and descriptive statistics over a five year period.
Your interpretation efforts of graphs and descriptive statistics will
explicitly connect in the conclusion area. Conclusions and
recommendations are the final effort in the development of a practical
business report and should be supported by citations. Remember that
opinion is not allowed.
Your supervisor has asked you to prepare a report for the quarterly
create scatterplots and histograms, and to calculate mean, median, and
mode of 5 years of stock prices for your report. Now you must analyze
and interpret those graphical representations of the company stock and
You are an analyst using the same company and five years of stock
data. Having accessed the company data and placed it in an appropriate
graphical format, you must now use descriptive statistics and analysis
to develop a report to inform business decisions.
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 well supported
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, include at least two to three
well-supported sentences explaining what the statistic represents:
What does the mean tell you? How do you know?
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:
How might the information you have provided be used in decision making in the company?
What are other analysts indicating about the stock?

Explicitly connect other analysts’ comments and recommendations to
Lastly, should your company invest of partner with the company or stock being evaluated?
Create a 5-8 page report containing:
APA-formatted title page.
1-2 page introduction of your chosen company that you created in your previous assessment.
Section labeled Graphical Representations of Data that includes
the four graphs you created as well as your interpretations of the
graphs.
Section labeled Descriptive Statistics, with the statistics you calculated as well as your interpretations of the statistics.
One-page conclusion in which you describe the potential business applications of the data and interpretations.
APA-formatted references page (remember to cite the source of your