1. applying analytic techniques to business 1
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.ScenarioYour supervisor has asked you to prepare a
report for the quarterly company meeting. The first part of the task was to download the

2. 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 RoleYou 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.
InstructionsAfter 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.Example Assessment: You may use the following to give you an idea of what a
Proficient or higher rating on the scoring guide would look like:Assessment 3 Example
[PDF].Additional RequirementsInclude 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.EvaluationBy
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.