Description
In an election 1140 people voted.
Mr A & Mr B polled 675 votes.
Mr B & Mrs K polled 862 votes.
How many votes did each one get?
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Explanation & Answer
Mr A and Mr B = 675 votes
Mr B and Mrs K = 862 votes
Now
Mr B and Mrs K's votes each are
Mr B = 862/2 = 431 votes Mrs K = 862/2 = 431 votes
Now
Mr A's votes are
Mr A = Mr A and Mr B's votes - Mr B's votes
= 675 votes - 431 votes
Mr A = 244 votes
Hence
Mr A = 244 votes Mrs K = 431 votes Mr B = 431 votes
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Identify a business that is of interest to you. It can be real or fictitious,
but it should be a realistic business. Think of one specific risk that your
chosen business could face, and consider how and where you will get data that
can be analyzed to address that risk. Complete
the following steps: 1.
Create a Word document to contain all components of your Unit 6 Assignment. Add
a title page and table of contents. 2.
Write an introduction to your chosen topic. Describe the business that you have
chosen, identify the risk you selected, and briefly describe how you expect
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element with a description in each of the four quadrants of a SWOT table. Label
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Identify which quadrant of a risk matrix your selected risk would fall into
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Most Popular Content
11 pages
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Create a Word document to contain all components of your Unit 6 Assignment. Add
a title page and table of contents. 2.
Write an introduction to your chosen topic. Describe the business that you have
chosen, identify the risk you selected, and briefly describe how you expect
analytics to help you address that risk. Label this section Introduction. 3.
Perform a SWOT analysis for your business. Ensure that you have at least one
element with a description in each of the four quadrants of a SWOT table. Label
this section SWOT Analysis. 4.
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(High Probability/High Impact; High Probability/Low Impact; Low
Probability/High Impact; or Low Probability/Low Impact. Provide a rationale
explaining why you have classified your chosen risk in the way you did. Label
this section Risk Classification. 5.
Obtain or create a data set that you can use to address your risk. You can use
built in data sets in R, data sets from the Internet, or data sets from a
company with appropriate permission. It is acceptable to create your own data
set if you wish. Keep in mind that you will need to use one of the risk
analytics techniques you have learned in this class, so the data you use and
the outcome your produce must be aligned with a valid technique: Linear
Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected
Payoff, or Decision Trees. Make a screen capture of a representative sample of
your data. Place it in your document and label this section Data. 6.
Create a model for your data that will allow you to address your selected risk.
This will most probably be in R, but if you select Expected Payoff as your
technique, it will be in Excel. Note that you are not permitted to simply
re-package one of the Assignments that you did earlier in this class. Your work
must be novel, even though you are using analytic techniques that generally
always stay the same. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model building. Label this
section Modeling. 7.
If your chosen technique is anything other than Time Series or Expected Payoff,
apply your model to make predictions for a representative data set to
illustrate how your chosen business would actually use your risk analytics
model. If you selected Time Series or Expected Payoff, document your findings
for your audience. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model application/outcomes.
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Include a References page that cites all sources used to complete your Unit 6
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