BUS 308 Week 5 Final Paper – Latest Version Oct 2013
BUS 308 Week 5 Final Paper – Latest
Version Oct 2013
BUS 308 Week
5 Final Paper – Latest Version Oct 2013
Identify an issue in your life
(work place, home, social organization, etc.) where a statistical analysis
could be used to help make a managerial decision. Develop a sampling plan, an
appropriate set of hypotheses, and an inferential statistical procedure to test
them. You do not need to collect any data on this issue, but you will discuss
what a significant statistical test would mean and how you would relate this
result to the real-world issue you identified. Your paper should be three to
five pages in length (excluding the cover and reference pages). In addition to
the text, utilize at least three sources to to support your points. No abstract
is required. Use the following research plan format to structure the paper:
Step 1: Identification of the
problem
Describe what is known about the situation, why it is a concern, and what we do not know.
Describe what is known about the situation, why it is a concern, and what we do not know.
Step 2: Research Question
What exactly do we want our study to find out? This should not be phrased as a yes/no question.
What exactly do we want our study to find out? This should not be phrased as a yes/no question.
Step 3: Data collection
What data is needed to answer the question, how will we collect it, and how will we decide how much we need?
What data is needed to answer the question, how will we collect it, and how will we decide how much we need?
Step 4: Data Analysis
Describe how you would analyze the data. Provide at least one hypothesis test (null and alternate) and an associated statistical test.
Describe how you would analyze the data. Provide at least one hypothesis test (null and alternate) and an associated statistical test.
Step 5: Results and Conclusions
Describe how you would interpret the results. For example, what would you recommend if your null hypothesis was rejected and what would you do if the null was not rejected?
Describe how you would interpret the results. For example, what would you recommend if your null hypothesis was rejected and what would you do if the null was not rejected?
A quick example: Concern if
gender is impacting employee’s pay. H0: Gender is not related to pay. H1:
Gender is related to pay. Approach: Multiple regression equation to see if
gender impacts pay after considering the legal factors of grade, appraisal,
education, etc. If regression coefficient for gender is significant, will need
to create residual list to see which employees show excessive variation from
predicted salaries when gender is not considered.
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